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

Location: North Fort Myers, FL, USA

Remote: Yes (Open to US-based remote roles)

Willing to relocate: Yes

Technologies: Python (FastAPI, Flask), Node.js, TypeScript, React, Next.js, PostgreSQL, MongoDB, WebSockets, AWS (Lambda, SageMaker, Bedrock), Azure, GCP, Docker, Generative AI, LLMs, RAG, Vector Databases, Whisper, Deepgram

Resume: https://drive.google.com/file/d/1lu2h-V_zqEHKqFuopnZEZmzMUpV...

Email: jzachariah940@gmail.com

Summary: Senior AI Full-Stack Engineer with 8+ years of experience building scalable, production-grade applications. Specialized in real-time AI systems, LLM-powered products, and low-latency backend services. Recently built voice-enabled AI assistants handling real-time transcription and automated clinical documentation for thousands of users. Strong background across full-stack development, cloud infrastructure, and modern AI tooling. Focused on delivering reliable, high-impact systems that solve real-world problems.

  Location: Bengaluru, India
  Remote: Yes
  Willing to relocate: Yes
  Technologies: React, Next.js, Angular, Vue, React Native, TypeScript, Node.js, Python, AI tooling (Claude Code, Cursor, MCP)
  Résumé: https://drive.google.com/file/d/1ez2cOn9VhzDl45XweK6E0kcsXiX-7aSQ/view?usp=sharing
  Email: sudeepg95 (at) gmail.com
  LinkedIn: linkedin.com/in/sudeepg95

~10 years of experience engineering for the Web using JavaScript.

Spent the last few years owning E2E delivery on e-commerce platforms - legacy migrations, payment integrations, A/B-tested conversion features.

Using AI as a force multiplier to compress timelines.

Comfortable working across platforms and stacks as well.

Open to full-stack or front-end roles with meaningful product ownership.

Location: Seoul, South Korea & Le Mans, France Remote: Yes (EU & Asia — Seoul/Tokyo TZ preferred) Willing to relocate: Yes Technologies: C++ (primary — C++17/20, lock-free/wait-free, SIMD, CUDA, kernel-bypass networking), Rust, Go, Python (PyTorch/NumPy/Numba), Haskell, OCaml, Elixir/Erlang, Julia, VHDL "with tools" (that I have developed/ am developing). TLA+/PlusCal/CBMC formal verification "with help". Résumé/CV: https://github.com/zeta1999 [contact me first] Email: renaudb1999@gmail.com

21 years in HFT, algo trading, and quantitative finance — now also doing AI/ML engineering. University of Tokyo. DASCA Certified Principal Data Scientist.

Built DMA/HFT options trading engines (kernel-bypass, lock-free hot paths), FPGA-accelerated Monte Carlo pricers, and 200k-line numerical libraries. Former Head Quant and CTO.

On the AI/ML side: CUDA/C++ inference, PyTorch pipelines, federated learning, quantum circuit models (PennyLane/Qiskit), time-series classification, synthetic data generation. Re-implemented a SIGGRAPH paper in CUDA/C++ for scene reconstruction, as well as a real time pose streming system.

Public projects: Thetis26 (C++20 lock-free data structures, 379M ops/sec ring buffers, formally verified) — rust-secure-memory (post-quantum KEM, encrypted enclaves) — notbbg (Go real-time market data terminal, 17 feeds) — gpu-backtest (Rust/CUDA/Metal backtesting engine, ongoing).

Open to: trading systems, HFT infrastructure, AI/ML engineering, quantitative research, systems programming. Contract or permanent.

Location: Speyer, Germany (CET)

Remote: Yes, preferred

Willing to relocate: No

Technologies: Python, TypeScript, React 19, Node.js, FastAPI, Vite, Pixi.js, Three.js, LangGraph, vLLM, Claude Code, Codex CLI, Gemini CLI, ComfyUI/Stable Diffusion (LoRA & checkpoint training, custom workflows & nodes), SQLite, Docker, GitHub Actions, Raspberry Pi / USB HID, LiveKit, WebRTC

Résumé/CV: github.com/Open-Medusa (most repos are private) Email: 0schii@proton.me

I build full-stack AI agent systems, generative video pipelines, and hardware/software integrations from scratch. Here’s what I’ve shipped lately:

Medusa: Local-first AI agent orchestrator. You’re the CEO, your AI agents handle the work, and they run Claude Code, Codex CLI, Gemini CLI, OpenCode, OpenClaw, and Copilot as a virtual team. Medusa reviews inboxes, creates tasks, and juggles workloads on its own. Build your own YAML workflows with a visual node editor, spin up git worktrees per agent, and manage everything from a pixel-art office UI (Pixi.js 8). It connects with Telegram, Discord, Slack, and WhatsApp. Includes seven workflow packs—one is a full-blown ComfyUI video production pipeline. Stack: React 19, Vite 7, Express 5, SQLite, TypeScript, full CI/CD.

Reely: AI-powered video reel generator with four modes: human-in-the-loop, fully autonomous, image-to-video, and AI editing. LangGraph handles workflow logic, ComfyUI does the heavy lifting. Features: smart scene similarity detection (LLM checks outfits and backgrounds), dynamic frame counts that match the original, dual prompt system (one for images, one for video), ControlNet for depth/pose edits. Stack: FastAPI, LangGraph, React/Vite, PySceneDetect, vLLM (Qwen2.5-VL).

VStress: Open-source VS Code extension that hooks live biometric data into your dev tools. Tracks stress with webcam rPPG, wearables, or AI agents. Check it out: github.com/Open-Medusa/VStress

Other projects: Remote-controlling iPhones through Raspberry Pi Pico W (using USB HID + vision-language model automation); building real-time video pipelines that inject physiological data into AI avatars (HeyGen, Tavus, LiveKit); 2+ years of deep ComfyUI/A1111 work (LoRA and checkpoint training, custom nodes, production workflows); building German TTS pipelines (Chatterbox, F5-TTS, Qwen3-TTS); WebGL with Three.js (animated 3D face mesh, 468 MediaPipe vertices).

I’m most useful when there’s a real system to build - not slides, not specs, but working software that touches hardware, APIs, and AI models. I work fast, async, and I own what I ship.