Looking for freelance ops, preferably with early/seed stage startups.
I'm located in Madison, WI.
Have been a 2x founding engineer TrustedFor (YC19) and DigiBuild (YC22) and also cofounded Politech/Promota AI (though I left there in 2024 and they've pivoted from original mission.) I'm currently building Worldwide Studios (worldwide-studios.org) and we're a bootstrapped non-profit so been doing client work to pay the bills.
At startups I've been a jack of all trades so my background is as an engineer (later "tech lead manager" type) but I've helped with content creation, team building and all of the things. Not looking for full time ops or to become an employee but I love working with early stage founders and startups and always happy to share my knowledge or just roll up my sleeves and help get over the hill.
Location: Wisconsin
Remote: Yes
Willing to relocate: Yes
Technologies: RL Environments, FastAPI, Python, PyTorch, Kubernetes, Docker, AWS, MLOps
Resume: https://drive.google.com/file/d/11LGN3YZj2uOJlTr8be77V44xVdGSr3kB
Portfolio: https://thelisowe.com/
Email: In profile or on resume
I'm an AI/ML Systems Engineer specializing in high-performance deployments. Most recently I've built RL environments for frontier labs like OpenAI and Google DeepMind. Previously I've built distributed AI classifier systems handling 30K QPS, designed a neural network for Rocket League gameplay, and created platforms that cut model deployment time from 6 months to 6 hours. Saved $500K/yr in infrastructure costs through optimization at previous role. Former technical founder with experience in humanoid robotics and AI writing assistance. I write about my projects and musings on my Substack: https://thelisowe.substack.com/
Seeking roles focusing on FDE, post-training, or full-stack AI/ML systems engineering.
Location: Portland, OR, USA
Remote: Yes, Preferred
Willing to relocate: Yes, however only if very persuasive or temporarily for onboarding
Technologies: Go, C, Python, Java, SQL, NoSQL, Grafana, PubSub, Containers, K8s, GCP, AWS, DBA, IaC, CI/CD, JavaScript, Hadoop/Yarn, Spark, DevOps, IT
Résumé/CV: https://drive.google.com/file/d/1E5ADLM6eZre_X9-rI4uKGyHs_iaOEC-N/view?usp=sharing
Email: vix [at] noriah [dot] dev
LinkedIn: https://linkedin.com/in/noriah
GitHub: https://github.com/noriah
Senior/Staff Reliability Engineer with a thirst for complex problems and 15+ years of experience. Comfortable with backend/infra development and user-facing systems.
- Specialties in reliability, automation, and reverse engineering.
- Small-scale to global-scale infrastructure, networking, distributed systems, and software.
- Skillful at building infrastructure and services from scratch.
- Excel at making flakey services solid as a rock.
- Experience with PoP buildout and maintenance for global networks and heavy workloads.
- Even a little robotics and some fabrication on the side.
Lets talk, I want to work hard to make you and your systems happy!
I'm looking for a remote role in software development, AI-assisted development / developer tooling, QA, or a junior technical/product role. Or junior SEO.
I build and maintain open-source and web projects, including Mouzi, a privacy-first cross-platform desktop application built with Rust, Tauri, React and TypeScript. I have hands-on experience with shipping releases, CI/CD, debugging, user-reported issues, cross-platform testing and maintaining real software used by others.
I'm especially interested in teams working with AI coding tools, developer productivity, automation, web applications or open-source software.
Previously: As a full-stack engineer, I most recently worked in a hybrid capacity on the Vancouver team at Flagler Health. Built the PDF billing report pipeline, and was responsible for migrating a majority of our Node.js job queue to Temporal.io. I regularly paired with juniors in a mentorship capacity, and happy to do so again.
Currently: Exploring local-llms, touching grass
Goal: I'm based out of Vancouver, but happy to discuss different remote arrangements globally or hybrid in Vancouver, Canada. I enjoy working on distributed computing workflows, sticky legacy problems, improving UX and DX, concurrency optimizations, and overall making useful products with a good team.
Location: Berlin (Germany) or Madrid (Spain)
Remote: Yes (preferred)
Willing to relocate: No
Technologies: Product discovery and delivery, roadmapping, backlog
management, A/B testing, OKRs and KPIs, GDPR/ePrivacy, IAB TCF,
consent and tracking, Core Web Vitals, image pipelines (HEIC/WebP,
IPTC), C2PA/Content Credentials, HTML, CSS, JavaScript, PHP,
WordPress, REST APIs, Git, PostHog, Plausible, GA4, Elastic, Figma
Resume/CV: https://drive.google.com/file/d/12Luw5e9kgIuUOBq4pSUUUVIobXxIBztU/view?usp=sharing
Email: fcalabretta [at] proton [dot] me
Product Owner at SmartFrame, an image delivery platform serving 55M+
images to publishers worldwide. I own discovery, roadmap and backlog
for a team of five. Started there as a designer, then engineer, now
PO, so I can read the code I'm prioritizing.
Shipped C2PA signing across the whole library with Adobe's CAI, cut
viewer load time 40%, own our GDPR/TCF and consent work.
I've been working on production-grade AWS deployments for over 10 years, so it's a bit hard to frame my experience/skill set. That being said, if you need help with almost anything AWS - architecture, infrastructure, performance, scale - feel free to reach out. Although versed in Well-Architected/multi-region/multi-account, I strive to supply the simplest solution for your particular scenario.
Location: Austin, Texas
Remote: Preferred
Willing to relocate: Maybe
Technologies: Go(Golang), Python, Docker, Dart/Flutter, Jenkins, Kubernetes, GitHub Actions, I've also done work with AWS, Azure, and GCP.
Résumé/CV: https://mongoose-studios.com
Email: Located on the about page of the link above.
I'm an oldschool "let's figure it out and get it done" nerd. I can wear one hat, or many, depending on what's needed. I primarily work in the back end, built lots of REST API servers/services. Recently been writing a lot of front end code in Flutter/Dart.
Co-creator of Mantis (https://mantis-llm-gateway.github.io), an open-source, self-hosted Large Language Model (LLM) gateway that provides a single interface for interacting with multiple LLMs. I was particularly involved with building out the end-to-end asynchronous token streaming pipeline, writing and publishing the SDK on PyPi and automating the deployment workflow using Terraform.
Trading Systems & Automation Engineer with hands-on experience designing, testing, and operating algorithmic trading systems.
My work focuses on signal/risk/execution architecture, MQL4/MQL5 systems, Python automation, trading APIs, backtest-to-live validation, execution diagnostics, and failure analysis.
I’m especially interested in Quant Developer, Trading Systems Engineer, Financial Systems Engineer, and Python automation roles where I can own real systems end-to-end.
Open to remote roles and relocation opportunities.
I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.
We worked with LLMs deeply, especially in code generation research. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task. https://dn.institute/research/ai/specgem/
Last month I released a self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc
Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript/TypeScript, practical LLM integration, React.
Location: Buenos Aires, Argentina
Remote: Yes
Willing to relocate: Yes, US no sponsorship needed — EB-2 NIW approved
Technologies: Python, C/C++, ClickHouse, Kafka, PostgreSQL, Redis, Docker, AWS, PyTorch, RL (PPO, GRPO), LLM-based agents
Resume/CV: https://drive.google.com/file/d/1sF2AE0MRg-AFBmgU0Fk4ojXhqMG5oU4o/view
LinkedIn: https://www.linkedin.com/in/maxim-anufriev
Email: see CV, or message via LinkedIn
Senior Software Engineer / Tech Lead, 15+ years across:
- Trading systems (current): built and operate multiple trading
strategies end to end — data collection pipeline at 100K+
records/s, ML strategies live in production, LLM-based ops agent
- Google (3.5+ yrs): multi-region infrastructure metadata platform (Cloud);
Chrome Password Manager on Android
- Hardware + research: quantum key distribution stack (single-photon hardware,
FPGA integration), industrial fiber sensing (Phase-OTDR, Bragg), icebreaker
hull monitoring
- Founding backend engineer at a ticketing startup
Mostly startup-like environments as a hands-on engineering lead. I like hard
constraints — latency budgets, custom hardware, research-team integrations —
and owning systems from architecture through production ops.
I’m a senior software engineer focused on system design and used to working with teams that are starting to strain under growth, complexity, or delivery pressure.
Over the last decade I’ve been working with startups and established companies, often in roles with end-to-end technical responsibility: from system design through implementation and production operation.
Recent work includes leading the architecture, implementation, and operational ownership of a distributed platform for venture capital workflows, as well as building and maintaining a survey fulfillment system. Both engagements included mentoring and coordinating engineers alongside delivery. More details can be found at https://robinsiep.com.
I'm currently interested in finding a more permanent role, but remain available for contract work in the meantime.
Over 20 years of experience in software development. I have built web, desktop, and mobile applications, backend services, and system-level software. I enjoy working in startups, building products from scratch, and solving complex technical problems. Hands-on experience with AI integrations and local inference.
Trustworthy output from untrustworthy data. I build systems that catch what's silently wrong — a dead sensor nobody noticed, contradictory records, a garbled scan, a confidently-wrong model — so it surfaces as a flag today, not a six-month catastrophe.
I use LLMs where they earn their place (development, meaning, embeddings, plain-language access to jargon-locked data) and keep them out of decisions and the data flow, which stay deterministic and verifiable. An LLM can help you find the answer; it can't be the answer.
Senior systems engineer, multiple AI cycles of judgment on what survives the hype and where it breaks. Currently turning messy Polish legal PDFs into a correctness-checked graph — the hard part is the verification, not the AI. Previously I built a legislative-notification service that ran autonomously in production for over three years before I retired it. I've written about where AI coding agents actually fail and why verification is the real work: https://walat.eu
Best fit when: correctness matters, the data is real-world-messy, and you want someone who names what doesn't work and why.
Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data
Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:
• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.
• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.
• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.
• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.
• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.
Senior engineer, 6 years. I mostly get hired for these things: rebuilding systems nobody wants to touch, and making AI-assisted development safe enough to actually ship.
Also, I'm pretty funny.
Recent work:
- Zero-downtime migration engine off a 10-year-old document store. 206,011 users moved, DB cost went from $1,600/mo to $80/mo.
- Risk-tiered review pipeline with an AI reviewer holding merge authority; the team, including a non-engineer cofounder, shipped 600+ PRs through it.
- CPQ/pricing platform for a manufacturer: pricing engine, configuration resolver, CAD/ERP integration, led two engineers.
Location: New Jersey / NYC
Remote: Yes (open to hybrid in NYC)
Willing to relocate: No
Technologies: Rippling, Greenhouse, BambooHR, Workday, Lattice, Carta, Vanta, Velocity Global, LinkedIn Recruiter, Google Workspace, Microsoft 365, Slack, Jira, Confluence, Notion, Trello, Replit, AI/LLM tools and workflow automation
Résumé/CV: https://canva.link/y0ozf7mf8raiky3
Head of People / People and Talent leader with 15+ years of experience across startups and larger technology companies. I have served as the first/only People leader at venture backed startups, partnering directly with founders and executive teams across hiring, organizational design, performance, compensation, People Ops, employee relations and scaling through significant change.
I particularly enjoy the 0→1 and growth stage work, figuring out what the business needs, building the right People foundations without unnecessary bureaucracy and staying hands on enough to actually get things done.
Most recently, I founded and built an AI powered consumer startup, which has given me firsthand experience on the other side of the founder/People partnership. I am continuing to build it in my own time while looking for my next Head of People opportunity.
Open to full-time Head of People / VP People roles as well as select fractional opportunities.
Location: Bangalore, India
Remote: Yes (Global Remote / EOR / Contractor)
Willing to Relocate: Yes (Europe / Germany / Singapore / UAE / Global)
Technologies: Modern C++ (14/17/20), C, Linux Systems Programming, Multithreading & Concurrency, Socket Programming (TCP/UDP/TLS), SIP, VoIP, Lawful Interception (ETSI-LI), GDB, ASAN, Agentic AI, LLM, Model Context Protocol (MCP), Python, Docker
Résumé/CV: https://drive.google.com/file/d/1MLutXFhMn1AXZUW5JgntKiiEqN5...
GitHub: https://github.com/JainPrithvi
LeetCode: https://leetcode.com/u/PrithviJain/
Email: prithvi.jain.sde@gmail.com
Software Development Engineer with 2+ years of experience building carrier-grade, low-latency C++ systems for a SIP Session Border Controller (SBC) at Ribbon Communications.
• Implemented ETSI-LI lawful interception subsystem across X2/X3 interfaces with ASN.1/BER encoding over secure TCP/TLS, engineering delivery to near-zero packet loss across thousands of concurrent SIP sessions.
• Built an in-house Agentic AI Developer Assistant (LLM / RAG / MCP) for autonomous codebase feature development and onboarding, adopted org-wide.
• Won Ribbon's internal Hackathon for building "CCP-SCP" (Compressed Chunked Parallel file transfer tool in Bash), cutting transfer times by ~90%.
• Strong algorithmic foundation with 900+ LeetCode problems solved.
Seeking full-time roles in Systems Software Engineering, Low-Latency / Distributed Systems, Telecom/Networking, or AI Developer Tooling.
Location: Austin, TX
Remote: Yes
Willing to relocate: No
Technologies: Linux, Docker, Kubernetes, agentic development and automation, lots more
Résumé/CV: https://112358132134.xyz/
Email: dan.j.bednarski@gmail.com
I'm a former (and sometimes current) engineer pivoting towards support and person focused roles. Throughout my career, I've always worked with clients, customers, and teams, and it's my favorite part of the job. If you need a highly technical person to provide support, sales, or person focused work, let's talk!
I'm a PhD physicist turned infrastructure engineer. I maintain a 40+ node Linux fleet for an open-source blockchain project; covering automation, monitoring, deployments, and public services. I also run a small web-hosting business and have built cloud automation for bare-metal onboarding and Kubernetes-hosted VMs at a startup.
My earlier work was in computational biophysics, ML, and HPC.
I'm looking for a hands-on platform, infrastructure, SRE, or DevOps role, ideally on a small, collaborative team. I'm also interested in research or ML infrastructure roles where my scientific background would be useful. Having worked at startups in the past, I'm fine wearing multiple hats and enjoy the variety.
Focus: the first mile of design maturity for small B2B software teams. Think UX/UI consistency and brand alignment across the product, using LLM-ready design systems and improved design-to-code workflows.
Most recently: design partner to a funded AI-native B2B startup. Owning the design end-to-end, helped their small team build their new agentic product layer from first direction to public launch in six weeks. Before that, helped a fintech B2C company set up their design function and build their customer-facing product - case study: https://www.raigo.design/case-studies/my-jiwambe
Looking for long-term engagements with a product team, to meaningfully level up design maturity. Available now. Also open to short, scoped sprints. From $450/day, depending on engagement shape.
Location: Mumbai, India
Remote: Preferred
Willing to relocate: No
Technologies:
- Python/Pandas
- Java/Spring Boot
- Data Engineering (ETL/ELT, data pipelines)
- Product Development
- AI/LLM based development (MCP, agents, ADK, CrewAI, etc)
- Other (SQL, Redis, Docker, AWS, GCP, Azure, DBT)
Résumé/CV/Email: https://dvalia.in
Data/Backend/Agentic AI engineer for the past ten years (Java, Python, SQL). Experience building data platforms (from scratch!) and ELT pipelines for financial data. Currently working on agentic AI projects, but happy to work at any level for any problem that needs solving. Happy to work on product management, solutions architecture, agentic AI or customer engineering. Remote is preferred for time zones spanning Europe to India, or early hours of EST/PST; onsite/hybrid in Mumbai is also great. Unfortunately cannot relocate. Open primarily to freelance/consulting roles, but full-time roles will also be considered if we're a good fit.
Location: New Hampshire
Remote: Strongly Preferred, 3+ years experience fully remote
Willing to relocate: Yes
Technologies: C, C++, Rust, Perl, TS/JS, Go, Python, Wasm, Linux, Windows, Embedded, HTTP, and more
Résumé/CV: https://computoid.com/about/GavinAHayes-Resume.html / https://computoid.com/about/GavinAHayes-Resume.pdf
Email: gavin [at] computoid dawt com
Hi, I'm Gavin. I have 9+ years experience between systems programming (cross-platform and embedded in C and C++), WebAssembly (porting, plugin systems, and binary parsing/recompilation), and Backend (identity and security in Rust, Typescript, Postgres). I'm proud of my open source work such as porting Perl to the Cosmopolitan Libc (featured on HN: https://news.ycombinator.com/item?id=33966755) and making my own HTTP media server/web interface. For my next role, I'm mostly interested in systems/Wasm development, but can be flexible to work in an interesting domain.
Software engineer looking for my first professional role.
Recent projects include VaultDrive (encrypted cloud storage), CareSync (FHIR healthcare platform), Frontbase, and Rust/Linux desktop tooling - including a GTK4/Wayland control center with 100+ GitHub stars.
I like building end-to-end products and working across backend, infrastructure, and Linux. Looking for backend, full-stack, platform/infrastructure, or developer-tooling roles.
Full-stack web developer with 20 years of experience, currently working at a startup where I was employee #2.
My strongest area of expertise, if I had to point one out, is frontend. I've built complex multiscreen dashboards, mobile games, IPTV set-top box interfaces, you name it. Consistent and performant UIs are my jam.
I enjoy working with people, I've happily and successfully led teams, conducted dozens of technical interviews and managed cross-team initiatives. That said, I'm a deeply technical person at heart, so I'm not looking for a full-time management position.
Over the past year I've been working with LLMs extensively, building an AI asset management product at my current employer, which required diving into coding harness internals and shipping features supported by LLMs. Our development processes started relying on LLMs as well, so I'm well prepared to join a team that's already heavy on AI or help it make that transition.
My preferred environment is one where I get a seat at the table early so I can own a feature from conception to production. I'm used to low overhead, frequent exchanges with product people and daily deploys. If you're not there yet, I can help you get there.
Location: Bishkek, Kyrgyzstan
Remote: Yes (US or EU time zones if needed)
Willing to relocate: Yes
Technologies: Java, Zig, C, Python, Common Lisp, PostgreSQL, ClickHouse
Résumé/CV: upon request
Email: ska80 [at] gmx [dot] com
I'm Victor, a product designer who writes production code, fifteen years in. I can carry the backend and I have led teams, but I engage most with the user-facing parts. I'm most useful where design and build are the same job: 0-to-1 products.
Recent side work: LLM Party (https://llmparty.pixeletes.com), a set of LLM experiments, and SketchJam, a multiplayer creative-coding party game.
Full-stack engineer with a backend focus and 15+ years of experience. Most of my work is at the integration layer: pulling a dozen awkward external systems into one GraphQL or REST API that a product team can rely on. This has included
payment gateways and government services at a national lottery, multi-protocol network telemetry, and billions of retail sales and inventory rows.
I own the infrastructure under what I build. On one route-planning system, that meant dynamic scaling that spun up short-lived machines at peak while keeping the cloud bill flat.
EU-based B2B contractor; no sponsorship required. Experienced working remotely with US companies via Deel and Globalization Partners. Available with 7 days’ notice.
Expert backend developer primarily focused on data engineering, mission critical/low latency/highly available systems, and AWS (certs: https://www.credly.com/users/jon-north.ad78f0c8). Happy to deal with greenfield or legacy or any mix of the two. I learn new things extremely quickly.
I prefer long term contract work, though I’ll help you with smaller things as well. W2 employment is a possibility if the fit is right. Whatever you’re doing with AI is also fine by me, and I’ll lead/adapt as appropriate.
• semantic video search using multimodal embeddings
• multi-agent systems integrating LLMs with internal data, docs, and APIs
Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.
Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.
Native application development for iOS, Android, Mac and Windows with over a decade of experience. Creating and/or integrating APIs/SDKs. TV/Video applications on all platforms (Apple, Android, Amazon, Roku.) Extensive experience building products and platforms from the ground up.
Location: Rajkot, India
Remote: Yes (worldwide, IST, flexible overlap)
Willing to relocate: No
Technologies: Android (Kotlin, Java), Flutter/Dart, Jetpack Compose, Firebase, REST APIs, MVVM, Play Store publishing and rejection fixes, plus web (business and e-commerce sites)
Resume/CV: https://raxit0948.github.io
Email: raxitbhalala0948@gmail.com
Android developer, 4+ years professional, shipped apps with 100K+ combined Play Store downloads across social, food delivery, fitness, AI and news categories. Now freelancing and open to contract work.
What I am good for: quick turnarounds on existing apps (crashes, Gradle and build errors, Play Store rejections - usually 24-48h), full Flutter apps shipped to both stores, and website-to-app conversions.
Code you can read before hiring me: I published an open-source photo and video editing SDK for Android on GitHub (https://github.com/Raxit0948), and I just built a free interactive Play Store pre-submission checklist - https://raxit0948.github.io/playstore-preflight.html - 14 real rejection causes with the fix under each one. Happy to start with a small paid task so we can both see how the other works.
Location: Rosario, Argentina (UTC-3)
Remote: Yes
Willing to relocate: Yes (Brazil, Spain, EU; US with sponsorship)
Technologies: C, C++, Qt/QML, PySide6, Python, Rust, CAN bus / J1939, embedded HMI,
real-time 2D rendering, event-driven firmware on constrained MCUs (MPC56xx),
EEPROM/DTC/telemetry, SQLite, FastAPI, Cloudflare Workers
Résumé/CV: https://www.linkedin.com/in/ezequiel-garcia-8aa89854 (PDF on request)
Email: ezegraz@gmail.com
Embedded HMI engineer. For 5 years I was the sole software owner of ~12 operator
dashboards that shipped to production on heavy agricultural machinery for five OEMs:
architecture, C firmware, J1939 modeling at 250 kbps, the entire graphics layer, bench and
field validation, and support. Two things I'm proud of: integrating an electronic Cummins
engine and a DANA transmission so the machine was commanded from our own HMI/VCU with no
OEM display, and replacing European OEM valve controllers with an in-house CAN + HMI
module, which cut per-unit cost and license fees.
I also built VisionUI, my own desktop UI framework: custom 2D engine, WYSIWYG editor,
licensing and cloud backend, with performance-critical parts in Rust.
Looking for embedded or industrial HMI, Qt/QML, machine and instrumentation software, or
graphics-heavy desktop apps. Full-time or contract. I'm used to owning a product end to end.
Software engineer, 2 years, remote for UK companies. I build the layer that
makes AI features safe to ship.
Spotter — https://github.com/anasbayoumy/spotter
Evaluation and guardrail layer for LLM agents. Deterministic rules run before
any model judge, because a rule can't hallucinate a pass. Every call traced
before it executes, so when quality drops you query what changed.
CLOCKLO — https://clocklo.com
Multi-tenant workforce SaaS. AI attendance verification, RBAC, Stripe, CI/CD
on AWS. Shipped solo, end to end.
SofClinic — https://sofclinic.com
Clinic management SaaS, WhatsApp-native — clinics already run on WhatsApp,
not another dashboard.
Also built an agents module where the LLM emitted SQL and got back only
record IDs, never customer data.
Location: San Diego, California / Lopez Island, Washington
Remote: Preferred, but I do not mind travel.
Technologies/skills: Ruby, Ruby on Rails, RSpec, Git, Turbo/Stimulus, TailwindCSS/TailwindUI, AWS, Kamal, HTML, CSS, JavaScript, SQL, Unix, APIs, people
Resume/CV: Ruby on Rails since 2006 at Shopify, Apple, Intuit and a bunch of startups as well.
Email: bradly@rails247.com
I really enjoy making web sites. I still type a lot of my own code and all of my own emails and code reviews. Not sure if that is a pro or con
Location: Pisa, Italy (CET)
Remote: Yes, remote only
Willing to relocate: No
Technologies: Python, LLM/agent orchestration, local embeddings, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers
Résumé/CV: linkedin.com/in/vslovik
Code: github.com/vslovik/fenix — local-embeddings market scanner + RAG over the corpus, no API keys
Email: valeriya.slovikovskaya@gmail.com
Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing.
The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase.
I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to.
On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. I also found a validation-set misuse defect in my own pipeline (early stopping on the test split), quantified its effect across every published figure, and added a pure-noise regression test to pin the corrected result to chance. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020.
Building on my own time: github.com/vslovik/fenix — a local market-signal scanner (Ollama embeddings, sqlite-vec, no API keys) that ranks incoming articles against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to the source chunks. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline, where the model does the extraction and a deterministic engine does the arithmetic.
Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early enough that I'm in the room where the work gets defined. Employment or named-delivery consulting, not disguised staffing.
Resume/CV/Experience: working demonstrations available below, anything else available on request.
Email: jim.jdiv@gmail.com
Seeking: applied AI, model behavior, evaluation, interpretability, inspectability, research engineering, synthetic data generation, or adjacent roles
I have spent more than 15 years building my own tools when the available ones were insufficient, and being someone sent when there was a problem, either to figure out what was going on or solve it, or both.
This has been as a generalist across analytics and data science for the operational arm of a large public university w/ steadily expanding domain responsibility, informing senior leadership, at times authoring strategy and policy. (I'm not as faculty, although I developed and taught a course for several years, Language of Propaganda, as an adjunct lecturer: adversarial uses of language examined through informal logic, cognitive blind spots, and case studies.) Separate from this, when a self-funding hobby found unexpected product-market fit I grew it to side-business and shipped 10,000+ items.
My academic background is in applied linguistics, NLP, cognitive science, and analytic philosophy. I might have followed a research or academic path, but by the time I completed my master's degree, I had concluded that the paths then available would not give me much room to pursue the questions I actually cared about.
Those interests are language, mind, cognition, and computation, all now converged in modern AI, I have devoted a lot of time bringing in ideas from traditional linguistics and some other areas and turning them into practical tools.
Recent work, including live demos:
- Cartogemma: A REPL-like environment for LLM inference. Explore generation as a branching process, preview output, inject tokens, rewind, ablate or restore heads, trace a chosen token through the layers. Per-head projections, residual contributions, the ordinary logit lens, and full-layer output side by side. The CMD/REPL bar functions once loaded. https://huggingface.co/spaces/anotheruserishere/Cartogemma
- Tokescope: watch a model in real time during inference, flag tokens to monitor & intervene. Catch something surfacing, before output. Once flagged it either logs it, stops the response with a hard gate, or suppresses using a gram-schmidt projection that takes the direction out of the vector. https://huggingface.co/spaces/anotheruserishere/Tokescope
- An instrumentation and intervention library for examining model internals during inference & using them to decompose behavior and outputs. It's what provides core tooling for the HF spaces listed. It analyzes derived structure, across layers and heads. These traces then use linear-algebraic, statistical, and overlap methods such as SVD, PCA, correlation analysis, and Jaccard similarity, results of which can then be used to steer a model through targeted activation-space interventions.
- Another library builds off of this one in the direction of mechanistic interpretability, for finding SAE-like features without the hassle of training an SAE, providing a range of static and interactive visualizations, scanning & storing model states at some or all steps of inference, among other things.
If any of this maps onto a problem your organization has or a role for which you have not found an easy title I would be glad to talk: jim.jdiv@gmail.com
I'm looking for monthly/yearly "no-strings" sponsors, not employment, if any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me (see HN bio).
Role: AI Systems Analyst & Architect (Concept & Orchestration)
Focus: Designing structural logic frameworks, context architectures, and deterministic control layers to solve core LLM limitations (Context Rot, Lost-in-the-Middle, hallucination loops, Attention Drift). I build fast, AI-orchestrated architectural prototypes and proof-of-concept tools across any tech stack to validate system logic - focusing on high-efficiency architecture, state mechanics, and system design rather than manual syntax-grinding for legacy codebases.
Grad student in physics, ex-dev looking to transition into AI/ML or data science. Lately have been working on RAG and causal inference side projects, see my GitHub (https://github.com/BaronWolfenstein/causal_bench) for the latter.
Systems plumbing, concurrent pipelines, and secure runtime isolation for agent startups. The claim I'd rather be judged on: not that my agents are correct, but that being wrong is discoverable. Write-up: https://sriramvarun0636.github.io/
Vasool — compliance-gated payment recovery agent on Razorpay's test APIs. I pre-registered seven falsification criteria before running anything, and then lost against one: a dumb baseline that retries everything recovers 16.35pp more than mine. It also breaks policy in 1,000 of 1,000 seeded runs; mine breaks it in 0. That trade is the finding, and it's the second section of the README, not an appendix. The LLM never calls a tool — inert verdict type, no adapter to the execution plane, asserted by an import-graph test. Simulated outcomes, tagged as such in the source; every figure is a key in a committed manifest, so you can check any number without running anything.
https://github.com/sriramvarun0636/Vasool — 5-min walkthrough: https://youtube.com/watch?v=B0Iov6qAaqs
SentinelPrime — multi-threaded options system on live WebSocket data. Releases the GIL via Numba (nogil=True), actor model over daemon threads isolating DB I/O and API calls, fixed-size ring buffers to kill allocation overhead under 24/7 operation.
https://github.com/sriramvarun0636/SentinelPrime
Looking for backend/infra/agent-systems work at pre-seed to Series A — founding engineer or engineer #2-5. Eval and agent-safety teams too. Standard loops are fine, and I'll also take a paid 2-3 week trial sprint on a real bottleneck in your codebase.
Location: Homestead, FL
Remote: Yes
Willing to relocate: No
Technologies: AI Agentic Workflow Development, Multi-Agent Systems, OpenAI, Claude, AI Integrations, LangChain, LangGraph, HIPAA Implementation, Docker, Kubernetes, Terraform, Full-Stack Development (Next.js, React, Node.js - ExpressJS, NestJS, Fastify, Python - FastAPI, Django, TanStack, JavaScript, TypeScript, AWS, Supabase
Résumé/CV: https://drive.google.com/file/d/1-KQ1vbZ4Cy2z5r49cc93I2unO8s...
Email: justinruiz.co@protonmail.com
Looking for freelance ops, preferably with early/seed stage startups.
I'm located in Madison, WI.
Have been a 2x founding engineer TrustedFor (YC19) and DigiBuild (YC22) and also cofounded Politech/Promota AI (though I left there in 2024 and they've pivoted from original mission.) I'm currently building Worldwide Studios (worldwide-studios.org) and we're a bootstrapped non-profit so been doing client work to pay the bills.
At startups I've been a jack of all trades so my background is as an engineer (later "tech lead manager" type) but I've helped with content creation, team building and all of the things. Not looking for full time ops or to become an employee but I love working with early stage founders and startups and always happy to share my knowledge or just roll up my sleeves and help get over the hill.
You can see my linkedin https://www.linkedin.com/in/dylaneholland/
Github http://github.com/DylanEHolland
You can contact me directly dylaneholland [at] gmail.com or here's my calendly https://calendly.com/dylaneholland/coach-dylan
I'm also on workatastartup though not sure how to share a public url
Seeking roles focusing on FDE, post-training, or full-stack AI/ML systems engineering.
- Specialties in reliability, automation, and reverse engineering.
- Small-scale to global-scale infrastructure, networking, distributed systems, and software.
- Skillful at building infrastructure and services from scratch.
- Excel at making flakey services solid as a rock.
- Experience with PoP buildout and maintenance for global networks and heavy workloads.
- Even a little robotics and some fabrication on the side.
Lets talk, I want to work hard to make you and your systems happy!
Location: Zawiercie, Poland
Remote: Yes
Willing to relocate: Possibly, for the right opportunity
Technologies: TypeScript, JavaScript, React, Node.js, Rust, Tauri, Git, GitHub Actions, HTML/CSS, AI-assisted development, manual QA/testing
Résumé/CV: https://hsr.gg/
Email: haser88@gmail.com
I'm looking for a remote role in software development, AI-assisted development / developer tooling, QA, or a junior technical/product role. Or junior SEO.
I build and maintain open-source and web projects, including Mouzi, a privacy-first cross-platform desktop application built with Rust, Tauri, React and TypeScript. I have hands-on experience with shipping releases, CI/CD, debugging, user-reported issues, cross-platform testing and maintaining real software used by others.
I'm especially interested in teams working with AI coding tools, developer productivity, automation, web applications or open-source software.
GitHub: https://github.com/hsr88
Location: Vancouver, Canada
Remote: Yes
Onsite/Hybrid: Yes, and I'd be willing to travel periodically, but Vancouver will always be my base
Willing to Relocate: No
Contract: Yes, incorporated, but would consider full-time employment
Languages/Frameworks (in order of experiece: JavaScript, TypeScript, Node.js, Vue, Vuetify, PrimeVue, MongoDB/Mongoose, Temporal.io, Docker, React <19 (classes and hooks), Angular.js <= 1.8, Swift, SwiftUI, Python
Tooling: Vite, Turbopack, Webpack, Github Actions, Docker, Jira, ESLint, testing-library, Jest
Résumé/CV: https://drive.google.com/file/d/1sioiJJt6z6H_slWemd_zg34ISMg...
Email: luke (at) luketully (dot) ca
Previously: As a full-stack engineer, I most recently worked in a hybrid capacity on the Vancouver team at Flagler Health. Built the PDF billing report pipeline, and was responsible for migrating a majority of our Node.js job queue to Temporal.io. I regularly paired with juniors in a mentorship capacity, and happy to do so again.
Currently: Exploring local-llms, touching grass
Goal: I'm based out of Vancouver, but happy to discuss different remote arrangements globally or hybrid in Vancouver, Canada. I enjoy working on distributed computing workflows, sticky legacy problems, improving UX and DX, concurrency optimizations, and overall making useful products with a good team.
Location: Brazil (UTC-3)
Remote: yes, through direct contractor or EOR arrangements
Willing to relocate: yes
Technologies: TypeScript, Node.js, Python, AWS, Redis, BullMQ, MongoDB/DocumentDB, React
Résumé/CV: https://drive.google.com/file/d/1Pz6m7SLck_nagkCO3DJI6RLyrAE...
Email: me@ryanmac.dev
I am a backend engineer with 5+ years of experience building systems across healthcare, education, and asset management.
Shipped C2PA signing across the whole library with Adobe's CAI, cut viewer load time 40%, own our GDPR/TCF and consent work.
Side project: https://weexpire.org, encrypted emergency notes that live entirely in a QR code, nothing stored server-side. ~1k users, no marketing, open source: https://github.com/ciccionamente/WeExpire
Before that I co-founded a marketplace that didn't make it, but taught me most of what I know about product.
Looking for a senior PO/PM role, ideally something technical or in media/adtech. More at https://francescocalabretta.com
I've been working on production-grade AWS deployments for over 10 years, so it's a bit hard to frame my experience/skill set. That being said, if you need help with almost anything AWS - architecture, infrastructure, performance, scale - feel free to reach out. Although versed in Well-Architected/multi-region/multi-account, I strive to supply the simplest solution for your particular scenario.
Location: US EST
Remote: Only
Technologies: IAM, VPC, Cloudwatch, EC2/ASG/ELB, Lambda, API Gateway, RDS, Redshift, DynamoDB, CodeDeploy, Cognito, Athena, S3, Cloudfront, Kinesis, SQS, SNS, IoT Core, Sagemaker, ElastiCache, MediaConvert
Email: hn@cldcntrl.com
Location: London, UK
Remote: Yes - but am open to both hybrid and in-office too.
Willing to relocate: Yes
Technologies: Python, FastAPI, Node.js, Express, PostgreSQL, MongoDB, REST APIs, JavaScript, TypeScript, React, HTML/CSS, Pytest, AWS, Terraform, Docker, Nginx, DigitalOcean, Linux, Git/GitHub, Postman, PyPI
Résumé/CV: https://www.linkedin.com/in/riz-s/
Email: rizwansyed876@gmail.com
Co-creator of Mantis (https://mantis-llm-gateway.github.io), an open-source, self-hosted Large Language Model (LLM) gateway that provides a single interface for interacting with multiple LLMs. I was particularly involved with building out the end-to-end asynchronous token streaming pipeline, writing and publishing the SDK on PyPi and automating the deployment workflow using Terraform.
Location: Tabriz, Iran
Remote: Yes — open to international remote opportunities where legally and operationally possible.
Willing to relocate: Yes — open to relocation with visa sponsorship.
Technologies: MQL4/MQL5, MetaTrader, Python, algorithmic trading systems, trading APIs, WebSocket, execution systems, risk management, backtesting, forward/live validation, financial automation.
Résumé/CV: https://drive.google.com/file/d/1UG3GNrmMzF5GJ5azr-OGUE55rKw...
GitHub: https://github.com/Fintor-AI
LinkedIn: https://www.linkedin.com/in/hossein-asgari-3b652416a/
Email: hosseinassgari93@gmail.com
Trading Systems & Automation Engineer with hands-on experience designing, testing, and operating algorithmic trading systems.
My work focuses on signal/risk/execution architecture, MQL4/MQL5 systems, Python automation, trading APIs, backtest-to-live validation, execution diagnostics, and failure analysis.
I’m especially interested in Quant Developer, Trading Systems Engineer, Financial Systems Engineer, and Python automation roles where I can own real systems end-to-end.
Open to remote roles and relocation opportunities.
Location: Tbilisi, Georgia
Remote: Yes
Willing to relocate: Yes
Technologies: JavaScript, TypeScript, Cloudflare Workers, LLM integration, React.
Resume/CV: kol3x.com
Е-mаil: hn-september at kol3x dot com
I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers.
We worked with LLMs deeply, especially in code generation research. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task. https://dn.institute/research/ai/specgem/
Last month I released a self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc
Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript/TypeScript, practical LLM integration, React.
CV, LinkedIn, and GitHub are also linked at https://kol3x.com
Location: Europe (located in NL)
Remote: primarily, willing to travel to meet and collaborate
Willing to relocate: no
Technologies: Python, Go, Kotlin, Java, Swift, AWS, GCP, Terraform, PostgreSQL, Redis
Résumé/CV: https://robinsiep.com/experience
Email: contact [at] robinsiep.com
I’m a senior software engineer focused on system design and used to working with teams that are starting to strain under growth, complexity, or delivery pressure.
Over the last decade I’ve been working with startups and established companies, often in roles with end-to-end technical responsibility: from system design through implementation and production operation.
Recent work includes leading the architecture, implementation, and operational ownership of a distributed platform for venture capital workflows, as well as building and maintaining a survey fulfillment system. Both engagements included mentoring and coordinating engineers alongside delivery. More details can be found at https://robinsiep.com.
I'm currently interested in finding a more permanent role, but remain available for contract work in the meantime.
Location: Rzeszów, Poland
Remote: Yes — remote only (~EU hours or async)
Willing to relocate: No
Technologies: Python, PostgreSQL, FastAPI; LLMs & embeddings, semantic search, self-hosted open-weights models (on-prem, offline); deterministic data/ML pipelines; PDF/document extraction, OCR, IoT, time-series, logs → decision-useful information
Résumé/CV: https://walat.eu/cv/ | https://linkedin.com/in/dariusz-walat
Email: dariusz@walat.eu
Trustworthy output from untrustworthy data. I build systems that catch what's silently wrong — a dead sensor nobody noticed, contradictory records, a garbled scan, a confidently-wrong model — so it surfaces as a flag today, not a six-month catastrophe.
I use LLMs where they earn their place (development, meaning, embeddings, plain-language access to jargon-locked data) and keep them out of decisions and the data flow, which stay deterministic and verifiable. An LLM can help you find the answer; it can't be the answer.
Senior systems engineer, multiple AI cycles of judgment on what survives the hype and where it breaks. Currently turning messy Polish legal PDFs into a correctness-checked graph — the hard part is the verification, not the AI. Previously I built a legislative-notification service that ran autonomously in production for over three years before I retired it. I've written about where AI coding agents actually fail and why verification is the real work: https://walat.eu
Best fit when: correctness matters, the data is real-world-messy, and you want someone who names what doesn't work and why.
Location: Menlo Park, CA
Remote: Yes, or hybrid if nearby
Willing to relocate: Possibly
Technologies: Python, Ruby, C, C++, C#, JavaScript, TypeScript, PowerShell, Flask, SQL, PostGIS, Shapely, Unity, Unreal Engine, multiple assembly/machine languages, Windows user code and kernel drivers, Google Maps and other map APIs, geographic and airspace data
Résumé/CV: https://www.geary.com/resume.html or https://www.geary.com/resume.pdf and https://www.linkedin.com/in/michaelgeary/
Email: mike@geary.com
Hi, I'm Michael Geary. I've programmed in many languages and environments over the years. Some of my current interests are:
• Developer experience. I love helping my fellow developers solve problems, and building tools to make their jobs easier and more enjoyable.
• Aviation and geographic data. For example, airspace and obstacle data importers for Wing; election results and voter information maps for Google; many interactive maps for other companies.
• Hardware interfacing. In a way, I am a "full stack" developer, but my stack may involve a front end to a piece of hardware rather than the cloud. I first got into programming via ham radio, so RF hardware remains an interest.
• Designing and building APIs. Too often an API is designed by exposing the internals of whatever system provides the API. My philosophy is the opposite: start with the apps. I like to build a series of sample apps before starting on the API. This way I can imagine what API will make those apps and others like them easy to build.
• Talk with users! I don't like to sit in a back room cranking out code. I want to make sure it's the right code for what my users need, and that it's easy to maintain and improve as we learn more about what they want.
• Technical and general interest writing.
Open to full time or contract.
I look forward to talking with you!
Location: Temecula, CA (US Pacific)
Remote: Yes
Willing to relocate: No
Technologies: TypeScript, React, Next.js, Node.js, Python, PostgreSQL, Supabase, Docker, CRDTs, distributed task queues, CI/CD, agentic AI workflows
Résumé/CV: barelybrand.co/work
Email: jesse :at: barelybrand.co
Senior engineer, 6 years. I mostly get hired for these things: rebuilding systems nobody wants to touch, and making AI-assisted development safe enough to actually ship.
Also, I'm pretty funny.
Recent work:
- Zero-downtime migration engine off a 10-year-old document store. 206,011 users moved, DB cost went from $1,600/mo to $80/mo.
- Risk-tiered review pipeline with an AI reviewer holding merge authority; the team, including a non-engineer cofounder, shipped 600+ PRs through it.
- CPQ/pricing platform for a manufacturer: pricing engine, configuration resolver, CAD/ERP integration, led two engineers.
Available immediately, contract or full-time.
github.com/jesse-mw linkedin.com/in/jesse--warren
Happy Tuesday!
Location: New Jersey / NYC Remote: Yes (open to hybrid in NYC) Willing to relocate: No Technologies: Rippling, Greenhouse, BambooHR, Workday, Lattice, Carta, Vanta, Velocity Global, LinkedIn Recruiter, Google Workspace, Microsoft 365, Slack, Jira, Confluence, Notion, Trello, Replit, AI/LLM tools and workflow automation Résumé/CV: https://canva.link/y0ozf7mf8raiky3
Head of People / People and Talent leader with 15+ years of experience across startups and larger technology companies. I have served as the first/only People leader at venture backed startups, partnering directly with founders and executive teams across hiring, organizational design, performance, compensation, People Ops, employee relations and scaling through significant change.
I particularly enjoy the 0→1 and growth stage work, figuring out what the business needs, building the right People foundations without unnecessary bureaucracy and staying hands on enough to actually get things done.
Most recently, I founded and built an AI powered consumer startup, which has given me firsthand experience on the other side of the founder/People partnership. I am continuing to build it in my own time while looking for my next Head of People opportunity.
Open to full-time Head of People / VP People roles as well as select fractional opportunities.
Location: California
Remote: yes
Willing to relocate: no
Technologies: Java, Linux, HBase, AWS, Kubernetes, C, Rust
Résumé/CV: see my website at https://cconnell.omg.lol/
Email: charles@charlesconnell.com
I am an expert in distributed systems with a focus on performance optimization. My website linked above has examples of my work.
Location: Bangalore, India Remote: Yes (Global Remote / EOR / Contractor) Willing to Relocate: Yes (Europe / Germany / Singapore / UAE / Global) Technologies: Modern C++ (14/17/20), C, Linux Systems Programming, Multithreading & Concurrency, Socket Programming (TCP/UDP/TLS), SIP, VoIP, Lawful Interception (ETSI-LI), GDB, ASAN, Agentic AI, LLM, Model Context Protocol (MCP), Python, Docker Résumé/CV: https://drive.google.com/file/d/1MLutXFhMn1AXZUW5JgntKiiEqN5... GitHub: https://github.com/JainPrithvi LeetCode: https://leetcode.com/u/PrithviJain/ Email: prithvi.jain.sde@gmail.com
Software Development Engineer with 2+ years of experience building carrier-grade, low-latency C++ systems for a SIP Session Border Controller (SBC) at Ribbon Communications.
• Implemented ETSI-LI lawful interception subsystem across X2/X3 interfaces with ASN.1/BER encoding over secure TCP/TLS, engineering delivery to near-zero packet loss across thousands of concurrent SIP sessions. • Built an in-house Agentic AI Developer Assistant (LLM / RAG / MCP) for autonomous codebase feature development and onboarding, adopted org-wide. • Won Ribbon's internal Hackathon for building "CCP-SCP" (Compressed Chunked Parallel file transfer tool in Bash), cutting transfer times by ~90%. • Strong algorithmic foundation with 900+ LeetCode problems solved.
Seeking full-time roles in Systems Software Engineering, Low-Latency / Distributed Systems, Telecom/Networking, or AI Developer Tooling.
Location: Washington, US (Pacific Northwest)
Remote: Yes (preferred)
Willing to relocate: For the right role, though I prefer to remain in the PNW
Seeking: Platform / Infrastructure / SRE / DevOps; also HPC, research infrastructure, and scientific computing roles
Technologies:
Resume/CV: https://jbarnes.dev/resumeGitHub: https://github.com/jbarnes-dev
Email: jonathan [at] jbarnes.dev
LinkedIn: https://www.linkedin.com/in/barnesjonathane/
I'm a PhD physicist turned infrastructure engineer. I maintain a 40+ node Linux fleet for an open-source blockchain project; covering automation, monitoring, deployments, and public services. I also run a small web-hosting business and have built cloud automation for bare-metal onboarding and Kubernetes-hosted VMs at a startup.
My earlier work was in computational biophysics, ML, and HPC.
I'm looking for a hands-on platform, infrastructure, SRE, or DevOps role, ideally on a small, collaborative team. I'm also interested in research or ML infrastructure roles where my scientific background would be useful. Having worked at startups in the past, I'm fine wearing multiple hats and enjoy the variety.
——————————————
SEEKING CONTRACT WORK | Remote (CET timezone) | Senior Product Designer / Design Engineer
·
Location: EU (Italy, CET timezone)
Remote: Yes, async-comfortable
Relocation: No
Tech: Figma + MCP, Claude Code + custom skills, HTML/CSS, design systems, WCAG
Résumé/CV: https://www.raigo.design/cv_raigo-lilleberg.pdf
Portfolio: https://raigo.design
Email: hi@raigo.design
·
Focus: the first mile of design maturity for small B2B software teams. Think UX/UI consistency and brand alignment across the product, using LLM-ready design systems and improved design-to-code workflows.
Most recently: design partner to a funded AI-native B2B startup. Owning the design end-to-end, helped their small team build their new agentic product layer from first direction to public launch in six weeks. Before that, helped a fintech B2C company set up their design function and build their customer-facing product - case study: https://www.raigo.design/case-studies/my-jiwambe
Looking for long-term engagements with a product team, to meaningfully level up design maturity. Available now. Also open to short, scoped sprints. From $450/day, depending on engagement shape.
Ask more: hi@raigo.design
·
Portfolio: https://raigo.design
GitHub: https://github.com/raigolilleberg
LinkedIn: https://www.linkedin.com/in/raigolilleberg
——————————————
Location: India
Remote: Yes, worldwide
Willing to relocate: Prefer remote, but open to the right opportunity
Technologies: TypeScript, React, Next.js, Node.js, Linux, Kubernetes, MongoDB, PostgreSQL, Terraform, CI/CD, AWS
Résumé/CV: Available on request
Portfolio: https://vijay-papanaboina.vercel.app GitHub: https://github.com/Vijay-papanaboina Email: vijaypapanaboina3@gmail.com
Software engineer looking for my first professional role.
Recent projects include VaultDrive (encrypted cloud storage), CareSync (FHIR healthcare platform), Frontbase, and Rust/Linux desktop tooling - including a GTK4/Wayland control center with 100+ GitHub stars.
I like building end-to-end products and working across backend, infrastructure, and Linux. Looking for backend, full-stack, platform/infrastructure, or developer-tooling roles.
Location: Europe
Remote: Yes
Willing to relocate: No
Technologies: Rust, Golang, Python (Django, Scikit-learn, Pandas), PostgreSQL, Clickhouse, Elasticsearch, Docker, GCP.
Résumé/CV: Reach out and I’ll send a detailed version
Email: check my profile
Senior Software Engineer with 11+ years of experience building and scaling distributed systems.
My career has spanned early-stage and high-growth startups, successful acquisitions, and major enterprise research labs.
Location: Slovenia, EU (CET/CEST)
Remote: Yes (required)
Willing to relocate: No
Technologies: TypeScript, Python, Django, Vue, Nuxt, React
Résumé/CV: https://zgajner.com/work
GitHub: https://github.com/mzgajner
Email: work@zgajner.com
Full-stack web developer with 20 years of experience, currently working at a startup where I was employee #2.
My strongest area of expertise, if I had to point one out, is frontend. I've built complex multiscreen dashboards, mobile games, IPTV set-top box interfaces, you name it. Consistent and performant UIs are my jam.
I enjoy working with people, I've happily and successfully led teams, conducted dozens of technical interviews and managed cross-team initiatives. That said, I'm a deeply technical person at heart, so I'm not looking for a full-time management position.
Over the past year I've been working with LLMs extensively, building an AI asset management product at my current employer, which required diving into coding harness internals and shipping features supported by LLMs. Our development processes started relying on LLMs as well, so I'm well prepared to join a team that's already heavy on AI or help it make that transition.
My preferred environment is one where I get a seat at the table early so I can own a feature from conception to production. I'm used to low overhead, frequent exchanges with product people and daily deploys. If you're not there yet, I can help you get there.
Location: Berlin, Germany, Europe
Remote: Yes
Willing to relocate: Maybe (within EU)
Technologies: Coding agents :) plus everything they type with me: TypeScript, React / React Native, Vue, Python, Supabase, Figma, Storybook.
Résumé/CV: https://notes.pixeletes.com/cv/
Email: pixeletes@proton.me
I'm Victor, a product designer who writes production code, fifteen years in. I can carry the backend and I have led teams, but I engage most with the user-facing parts. I'm most useful where design and build are the same job: 0-to-1 products.
Recent side work: LLM Party (https://llmparty.pixeletes.com), a set of LLM experiments, and SketchJam, a multiplayer creative-coding party game.
Notes on how I work: https://notes.pixeletes.com
Location: Porto, Portugal
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Node.js, TypeScript, GraphQL, REST, PostgreSQL, ClickHouse, Kafka, Redis, AWS, Kubernetes, Terraform, OpenTelemetry, Vue.js, React
Résumé/CV: https://thaler.dev/thaler.cv.pdf
Email: dmitry@thaler.dev
Full-stack engineer with a backend focus and 15+ years of experience. Most of my work is at the integration layer: pulling a dozen awkward external systems into one GraphQL or REST API that a product team can rely on. This has included payment gateways and government services at a national lottery, multi-protocol network telemetry, and billions of retail sales and inventory rows.
I own the infrastructure under what I build. On one route-planning system, that meant dynamic scaling that spun up short-lived machines at peak while keeping the cloud bill flat.
EU-based B2B contractor; no sponsorship required. Experienced working remotely with US companies via Deel and Globalization Partners. Available with 7 days’ notice.
Location: USA
Remote: Preferred
Willing to relocate: Maybe
Expert backend developer primarily focused on data engineering, mission critical/low latency/highly available systems, and AWS (certs: https://www.credly.com/users/jon-north.ad78f0c8). Happy to deal with greenfield or legacy or any mix of the two. I learn new things extremely quickly.
I prefer long term contract work, though I’ll help you with smaller things as well. W2 employment is a possibility if the fit is right. Whatever you’re doing with AI is also fine by me, and I’ll lead/adapt as appropriate.
Technologies: Python, C/C#/C++, SQL, NoSQL, Go, Golang, Docker, Git, Linux/Windows, Bash, Kafka, Redpanda, PySpark, Spark, AWS, Azure, GCP, Terraform, Kubernetes, Redis, Postgres, MySQL, SQL Server, SAP HANA, LDAP, Active Directory, OAuth2
Resume/CV: www.adiuvat-consulting.com
Email: jon.north@adiuvat-consulting.com
Location: Telluride, CO
Remote: Yes
Willing to relocate: No
AI Product Engineering: full-stack AI systems, LangGraph/Chain, RAG
Technical: TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, GCP
Recent work includes:
• multilingual AI product (26 languages) for search automation
• AI-assisted incident intelligence platform for enterprise security teams
• multi-tenant account management platform (Life Alert providers)
• semantic video search using multimodal embeddings
• multi-agent systems integrating LLMs with internal data, docs, and APIs
Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production.
Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+.
LinkedIn: https://www.linkedin.com/in/jeff-borden/
Email: jborden13 [@t] gmail [dot] com
* Open to full-time, fractional, or advisory roles.
Thoughts on Jumper? https://getjumper.io
I'm co-founder & ceo btw
Location: NY
Remote: Yes
Willing to relocate: No
Technologies: Swift, SwiftUI, Obj-C, Kotlin, C#
Native application development for iOS, Android, Mac and Windows with over a decade of experience. Creating and/or integrating APIs/SDKs. TV/Video applications on all platforms (Apple, Android, Amazon, Roku.) Extensive experience building products and platforms from the ground up.
Email: info at squirrelpointstudios dot com
What I am good for: quick turnarounds on existing apps (crashes, Gradle and build errors, Play Store rejections - usually 24-48h), full Flutter apps shipped to both stores, and website-to-app conversions.
Code you can read before hiring me: I published an open-source photo and video editing SDK for Android on GitHub (https://github.com/Raxit0948), and I just built a free interactive Play Store pre-submission checklist - https://raxit0948.github.io/playstore-preflight.html - 14 real rejection causes with the fix under each one. Happy to start with a small paid task so we can both see how the other works.
Location: Rosario, Argentina (UTC-3) Remote: Yes Willing to relocate: Yes (Brazil, Spain, EU; US with sponsorship) Technologies: C, C++, Qt/QML, PySide6, Python, Rust, CAN bus / J1939, embedded HMI, real-time 2D rendering, event-driven firmware on constrained MCUs (MPC56xx), EEPROM/DTC/telemetry, SQLite, FastAPI, Cloudflare Workers Résumé/CV: https://www.linkedin.com/in/ezequiel-garcia-8aa89854 (PDF on request) Email: ezegraz@gmail.com
Embedded HMI engineer. For 5 years I was the sole software owner of ~12 operator dashboards that shipped to production on heavy agricultural machinery for five OEMs: architecture, C firmware, J1939 modeling at 250 kbps, the entire graphics layer, bench and field validation, and support. Two things I'm proud of: integrating an electronic Cummins engine and a DANA transmission so the machine was commanded from our own HMI/VCU with no OEM display, and replacing European OEM valve controllers with an in-house CAN + HMI module, which cut per-unit cost and license fees.
I also built VisionUI, my own desktop UI framework: custom 2D engine, WYSIWYG editor, licensing and cloud backend, with performance-critical parts in Rust.
Looking for embedded or industrial HMI, Qt/QML, machine and instrumentation software, or graphics-heavy desktop apps. Full-time or contract. I'm used to owning a product end to end.
Location: Cairo, Egypt Remote: Yes Willing to relocate: Yes Technologies: TypeScript, Node.js, Next.js, React, React Native/Expo, PostgreSQL + pgvector, Python, Docker, AWS. LLM systems: evals, guardrails, RAG, request tracing, agentic workflows. Github: https://github.com/anasbayoumy Linkedin: https://www.linkedin.com/in/anasbayoumy/ Email: anasbayoumy20@gmail.com
Software engineer, 2 years, remote for UK companies. I build the layer that makes AI features safe to ship.
Spotter — https://github.com/anasbayoumy/spotter Evaluation and guardrail layer for LLM agents. Deterministic rules run before any model judge, because a rule can't hallucinate a pass. Every call traced before it executes, so when quality drops you query what changed.
CLOCKLO — https://clocklo.com Multi-tenant workforce SaaS. AI attendance verification, RBAC, Stripe, CI/CD on AWS. Shipped solo, end to end.
SofClinic — https://sofclinic.com Clinic management SaaS, WhatsApp-native — clinics already run on WhatsApp, not another dashboard.
Also built an agents module where the LLM emitted SQL and got back only record IDs, never customer data.
Open to full-time or contract, 4h/day and up.
Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embeddings market scanner + RAG over the corpus, no API keys Email: valeriya.slovikovskaya@gmail.com
Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing.
The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase.
I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to.
On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. I also found a validation-set misuse defect in my own pipeline (early stopping on the test split), quantified its effect across every published figure, and added a pure-noise regression test to pin the corrected result to chance. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020.
Building on my own time: github.com/vslovik/fenix — a local market-signal scanner (Ollama embeddings, sqlite-vec, no API keys) that ranks incoming articles against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to the source chunks. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline, where the model does the extraction and a deterministic engine does the arithmetic.
Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early enough that I'm in the room where the work gets defined. Employment or named-delivery consulting, not disguised staffing.
Location: Remote/Hybrid NYC area
Resume/CV/Experience: working demonstrations available below, anything else available on request.
Email: jim.jdiv@gmail.com
Seeking: applied AI, model behavior, evaluation, interpretability, inspectability, research engineering, synthetic data generation, or adjacent roles
I have spent more than 15 years building my own tools when the available ones were insufficient, and being someone sent when there was a problem, either to figure out what was going on or solve it, or both.
This has been as a generalist across analytics and data science for the operational arm of a large public university w/ steadily expanding domain responsibility, informing senior leadership, at times authoring strategy and policy. (I'm not as faculty, although I developed and taught a course for several years, Language of Propaganda, as an adjunct lecturer: adversarial uses of language examined through informal logic, cognitive blind spots, and case studies.) Separate from this, when a self-funding hobby found unexpected product-market fit I grew it to side-business and shipped 10,000+ items.
My academic background is in applied linguistics, NLP, cognitive science, and analytic philosophy. I might have followed a research or academic path, but by the time I completed my master's degree, I had concluded that the paths then available would not give me much room to pursue the questions I actually cared about.
Those interests are language, mind, cognition, and computation, all now converged in modern AI, I have devoted a lot of time bringing in ideas from traditional linguistics and some other areas and turning them into practical tools.
Recent work, including live demos:
- Cartogemma: A REPL-like environment for LLM inference. Explore generation as a branching process, preview output, inject tokens, rewind, ablate or restore heads, trace a chosen token through the layers. Per-head projections, residual contributions, the ordinary logit lens, and full-layer output side by side. The CMD/REPL bar functions once loaded. https://huggingface.co/spaces/anotheruserishere/Cartogemma
- Tokescope: watch a model in real time during inference, flag tokens to monitor & intervene. Catch something surfacing, before output. Once flagged it either logs it, stops the response with a hard gate, or suppresses using a gram-schmidt projection that takes the direction out of the vector. https://huggingface.co/spaces/anotheruserishere/Tokescope
- Bertographer is similar, runs on encoder models, classification task, ie NLI models, Also with ad-hoc steering https://huggingface.co/spaces/anotheruserishere/Bertographer
- An instrumentation and intervention library for examining model internals during inference & using them to decompose behavior and outputs. It's what provides core tooling for the HF spaces listed. It analyzes derived structure, across layers and heads. These traces then use linear-algebraic, statistical, and overlap methods such as SVD, PCA, correlation analysis, and Jaccard similarity, results of which can then be used to steer a model through targeted activation-space interventions.
- Another library builds off of this one in the direction of mechanistic interpretability, for finding SAE-like features without the hassle of training an SAE, providing a range of static and interactive visualizations, scanning & storing model states at some or all steps of inference, among other things.
If any of this maps onto a problem your organization has or a role for which you have not found an easy title I would be glad to talk: jim.jdiv@gmail.com
Trying something different again here, sorry.
Location: Canada
Remote: Yes
Technologies: C, OpenBSD
I'm looking for monthly/yearly "no-strings" sponsors, not employment, if any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me (see HN bio).
https://brynet.ca/wallofpizza.html
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Location: Germany (Freiburg)
Remote: Yes (100% Remote only)
Willing to relocate: No
Technologies: LLM Context Architecture, Deterministic Serialization Protocols, Localhost Session Governance, State/Glossary Recovery, System Analysis, Logic Orchestration, Unstructured Data Forensics
GitHub Profile: https://github.com/Recursive-Logic-Core
Résumé/CV: Available upon request via email
Role: AI Systems Analyst & Architect (Concept & Orchestration)
Focus: Designing structural logic frameworks, context architectures, and deterministic control layers to solve core LLM limitations (Context Rot, Lost-in-the-Middle, hallucination loops, Attention Drift). I build fast, AI-orchestrated architectural prototypes and proof-of-concept tools across any tech stack to validate system logic - focusing on high-efficiency architecture, state mechanics, and system design rather than manual syntax-grinding for legacy codebases.
Key Deliverables & Implementations:
- SLAP Protocol (v1.0.0): Deterministic, zero-overhead context serialization & line-based tree-state protocol in O(N) single-pass execution https://github.com/Recursive-Logic-Core/SLAP
- DriftBreak (v1.5.0): Local context governor & state-recovery engine mitigating context drift and VRAM payload overhead on 127.0.0.1 https://github.com/Recursive-Logic-Core/DriftBreak
- Deterministic Context Frameworks: Mitigating attention decay, sycophancy, and mid-context retrieval failure across massive multi-document spans https://github.com/Recursive-Logic-Core/llm-context-architec...
- Advanced Forensic Pattern Recognition: Signal extraction from extreme cryptographic and unstructured informational fragmentation (Rongorongo, Dorabella, Kryptos, Voynich) https://github.com/Recursive-Logic-Core/system-analysis
Terms: German employment contract & benefits (Open to international via EoR / German entity)
Languages: Native German, fluent written English (async-first)
Notice Period: 2 months to end of month
Email: arch_mmm@proton.me
Location: New Orleans, LA
Remote: Yes
Willing to relocate: Yes
Technologies/Skills: C++, C#, Java, Python, GitHub/Git, Linear Algebra, Differential Equations, Solid State Physics, AWS Lambda, Azure DevOps, R, Julia, MATLAB, Ray, SLURM, HPC, Docker, SQL
Resume: available upon request
Email: hnusername at gmail.com
LinkedIn: https://www.linkedin.com/in/noah-rahman-01504257
Grad student in physics, ex-dev looking to transition into AI/ML or data science. Lately have been working on RAG and causal inference side projects, see my GitHub (https://github.com/BaronWolfenstein/causal_bench) for the latter.
Location: Vijayawada, India
Remote: Yes (2pm-11pm IST — full EU hours + US-East mornings)
Willing to relocate: Yes
Available: Remote immediately, on-site from Dec 2026 — final-year B.Tech CS, MNNIT Allahabad
Technologies: Python, C/C++, Docker SDK (sandboxing, cgroups), LangGraph, FastAPI, WebSockets, Numba, SQLite (WAL), Linux
Resume: https://drive.google.com/file/d/1XXZ-d2hf8wEJYx0O-kX310qkeHr...
Email: sriramvarun636@gmail.com
GitHub: https://github.com/sriramvarun0636
Systems plumbing, concurrent pipelines, and secure runtime isolation for agent startups. The claim I'd rather be judged on: not that my agents are correct, but that being wrong is discoverable. Write-up: https://sriramvarun0636.github.io/
Vasool — compliance-gated payment recovery agent on Razorpay's test APIs. I pre-registered seven falsification criteria before running anything, and then lost against one: a dumb baseline that retries everything recovers 16.35pp more than mine. It also breaks policy in 1,000 of 1,000 seeded runs; mine breaks it in 0. That trade is the finding, and it's the second section of the README, not an appendix. The LLM never calls a tool — inert verdict type, no adapter to the execution plane, asserted by an import-graph test. Simulated outcomes, tagged as such in the source; every figure is a key in a committed manifest, so you can check any number without running anything. https://github.com/sriramvarun0636/Vasool — 5-min walkthrough: https://youtube.com/watch?v=B0Iov6qAaqs
AutoPatch-AI — autonomous code remediation agent on a LangGraph state machine. Zero-trust Docker execution layer (network_disabled, 256MB RAM, 128 PID cgroup caps), real-time telemetry over thread-safe queues via SSE, AST-based parsing that cut context bloat ~80%. https://github.com/sriramvarun0636/AutoPatch-AI — 90s sandbox demo: https://www.loom.com/share/104cf5ebcfc144a09f49c62830755408
SentinelPrime — multi-threaded options system on live WebSocket data. Releases the GIL via Numba (nogil=True), actor model over daemon threads isolating DB I/O and API calls, fixed-size ring buffers to kill allocation overhead under 24/7 operation. https://github.com/sriramvarun0636/SentinelPrime
Looking for backend/infra/agent-systems work at pre-seed to Series A — founding engineer or engineer #2-5. Eval and agent-safety teams too. Standard loops are fine, and I'll also take a paid 2-3 week trial sprint on a real bottleneck in your codebase.