Ask HN: Who wants to be hired? (August 2026)

  Remote: Yes, remote only. Async-preferred.

  Willing to relocate: No

  Technologies: Rust, Python, C++/CUDA, C#/.NET, TypeScript, Go, Kotlin, SQL | PyTorch, Hugging Face, Burn, ONNX Runtime, llama.cpp, LiteRT-LM, Whisper | SQLite, Docker, Linux, Cloudflare

  Résumé/CV: https://github.com/IsaacLevinsky/resume

  Email: ilevinsky36@gmail.com

  I train small language models from scratch and ship them into production myself - on a single 8-year-old Quadro GP100 workstation, no cloud spend.

  - RustMind: a complete LLM training stack written from scratch in Rust on Burn - model, byte-level BPE tokenizer, corpus pipeline, GPU training. Ladder from 21M to 125M; the 21M encoder is trained to production quality and ships in
  software today. Public pipeline proof (MIT): https://github.com/IsaacLevinsky/rustmind-mini-embed-base

  - Root-caused a generation-collapse failure to non-stratified validation splits and over-memorized templated data, then rebuilt the corpus pipeline around document-aware chunking.

  - LookingGlass: zero-dependency Rust workspace-analysis engine. 3,441 files in ~47ms. Single binary, no Python or Node runtime.

  - Orion: C++/CUDA data engine. 1.15M rows in 1.276s (~901K rows/sec).

  - 17 offline-first apps published across Google Play, Amazon, and Samsung - native C#/.NET Android, on-device Whisper and ML Kit, no ads or accounts: https://play.google.com/store/apps/developer?id=MCMLV1+LLC

  - Live AI in production on three surfaces, including a chatbot on mcmlv1.com running on my own hardware.

  Give me a constraint, a spec, or just a problem, and I design and deliver the whole system end to end. Full-time or contract.

I'm a forward-deployed engineer. My background is 15+ years of data science, but I focus on solving problems. I work in messy, ambiguous, regulated environments. Often at a client's site, inside their systems and their data. I excavate unmapped data, learn how the team works, and ship tools that stay in production.

Deployed and still running today: Legal clause extraction and validation; site corrosion detection and management; routing and predictive-maintenance systems that stayed in service.

I compress engineering, data, and modeling into one function, owned end to end. I show up, figure out what needs to be built, and make it work.

Tooling: ML/AI, LLMs, and the engineering around them: evals, determinism, observability, guardrails. The tech is just a tool, The hard part is knowing what to build.

If you have a messy, ambiguous problem that needs someone who can embed and ship, my email is in my profile.

EDIT: Corrosion detection so people don't think I detect rust code. (Nothing wrong with that though)

  Location: London, UK
  Remote: Yes (remote preferred; open to one day a week in central London)
  Willing to relocate: No
  Technologies: TypeScript/React, PHP/Laravel, PostgreSQL, React Native/Expo, product design/UX, AI-assisted development
  Résumé/CV: https://dvy.io
  Email: hn@davidbarker.me
  LinkedIn: https://www.linkedin.com/in/dvyio
  Seeking: Senior Product Engineer with product design ownership (permanent preferred; open to substantial contract work)

At Flowstate, I took a workforce-planning SaaS from blank repo to paid pilot in 10 weeks as sole engineer-designer. I currently own product design, backend, mobile apps, Stripe Connect payments, AI-assisted listing tools, and infrastructure for a US trading-card marketplace.

I use and evaluate new AI models and coding workflows to make product development faster, while preserving quality through type safety, tests, CI, review, and product judgement.

I'm looking for a team that uses AI coding tools seriously, values strong product design, and keeps product builders close to customers.

Remote: Yes

Willing to relocate: Yes

Technologies: Ruby, Python, JavaScript (ES6), TypeScript, React, Node.js, PostgreSQL, MongoDB, OpenSearch/Elasticsearch, AWS (ECS, EC2, VPC, ALB, Secrets Manager), Docker, Terraform, OpenTelemetry, Jaeger, Prometheus

Resume/CV:https://drive.google.com/file/d/1aBYTxqlWIKmm59UT5ffK493tKR0...

LinkedIn: https://www.linkedin.com/in/zane-lee-14496a297/

Email: zanedev28@gmail.com

GitHub: https://github.com/Kcstills17

Co-creator of Retriever (https://runretriever.app/), an AWS-deployed observability platform that enables AI-powered trace analysis through distributed systems. Built a custom MCP server allowing developers to query trace data using natural language through LLMs like Claude, optimizing context consumption through intelligent data distillation from verbose OTLP structures.

Experienced with building full-stack applications. I am comfortable using AWS as a cloud environment and have experience with AI technologies such as RAG, MCP, and Vector embeddings.

    Location: Spain
    Remote: Yes
    Willing to relocate: No
    Technologies: Scala, Java, Rust, JavaScript/TypeScript, React, Ruby, AWS, Postgres
    Résumé/CV: https://www.linkedin.com/in/alexis-hernandez
    Email: alexis+hn@alexitc.com

I believe in using the right tool for each task. Strong infrastructure background (AWS, cloud-native, distributed systems). US C-Corp for contracting.

I've attempted to bootstrap products myself so I understand what it takes beyond writing code. I take full ownership end to end, I don't wait to be told what needs solving.

Immediate availability because my whole team was laid off recently, I'm used to work on US timezones. Open to senior IC or tech lead roles.

- GitHub: https://github.com/AlexITC

- Latest tech talk: https://www.youtube.com/watch?v=SJxEXAkxD3I

- Testimonials: https://alexitc.com/testimonials/

P.S: I also have decent experience leveraging AI to speed up my work, not vibe coding but holding AI-hands like I'd typically do with junior devs. I also have built multiple AI integrations.