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

I build the systems plumbing, concurrent pipelines, and secure runtime isolation that AI coding-agent startups are racing to ship.

AutoPatch-AI: An autonomous, self-healing code remediation agent built on a LangGraph state machine. I engineered a zero-trust Docker execution layer (network_disabled=True, 256 MB RAM / 128 PID hard limits), streamed real-time telemetry over lock-free thread queues via SSE, and moved from full-file diffs to Search/Replace block patching, cutting generation overhead by ~80%. Achieved a 100% resolution rate (5/5) on a custom Micro-SWE-bench harness with an average time-to-resolution of ~205 seconds. GitHub: https://github.com/sriramvarun0636/AutoPatch-AI

SentinelPrime: A multi-threaded, regime-aware options trading system for live WebSocket market data. Built using an Actor Model architecture over daemon threads to isolate database I/O and broker API calls, with an asynchronous Token Bucket rate limiter and atomic SQLite (WAL) persistence. GitHub: https://github.com/sriramvarun0636/SentinelPrime

HydraPrime: A systematic XAUUSD trading EA in MQL5. Backtested (not live) over two years on 96M+ real ticks, achieving a 1.37 profit factor, 13.8% maximum drawdown, and 252% net return. GitHub: https://github.com/sriramvarun0636/HydraPrime

B.E Computer Science undergrad at NIT Allahabad (Class of 2027).

Looking for a founding or early-stage software engineering role on an AI-agent, developer tool, or high-performance backend systems team. Open to full-time or contract opportunities.

Remote: Yes

Willing to relocate: No

Domains: Platform Engineering, Developer Tooling, Enterprise Integration, Language Design, AI Tooling

Email: celerex.dev@gmail.com

Projects: https://polymr-platform.github.io/ | https://neatify-tech.github.io/

I am a Staff/Principal engineer with 18+ years of experience building mission-critical enterprise software across integration-heavy B2B, B2C, and IoT environments.

What sets my background apart is that I do not just build applications, I also build the underlying platforms behind them. Over the years I have built:

- Nabu: a low-code enterprise integration and web application platform with 10+ years of production use

- Glue: a custom scripting language used for automation, orchestration, and test execution at scale

- Neatify: a polyglot formatter in Rust using Tree-sitter and Rhai

- Polymr and MCP tooling: LLM agent infrastructure focused on control, orchestration, and deep tool integration

I am looking for a long-term Staff/Principal IC role focused on platform architecture, developer experience, custom tooling, orchestration systems, or applied AI infrastructure.

Technologies: Python, Go, PostgreSQL, Docker, Linux, AWS, Nginx, Pytorch, MERN, AI coding and open to learn

Résumé/CV: https://drive.google.com/file/d/11Bz-FduL6G6nOdf8NbhDbBZD72n...

Email: shashwatbansal247@gmail.com

GitHub: github.com/bansal247

Backend engineer, ~2 years. Currently building a 9-service biometric verification platform end-to-end as a solo contractor — FastAPI + Postgres 16 with Fernet-encrypted PII and PgBouncer transaction pooling, an APScheduler container coordinating AWS Rekognition with two Java microservices for fingerprint and iris matching, plus a Kotlin Android client with offline-first sync. Repo pinned on my GitHub with a full architecture README.

Before this, low-latency Go services at Longshot Systems (London algo-trading firm). Joined without Go, was shipping in my second month — comfortable picking up new stacks fast.

In parallel, solo client work on Upwork: 32 jobs, 1,100+ hours, 100% Job Success Score, 5.0/5.0 rating, Rising Talent badge, repeat clients. Across Python/Go automation, MERN-stack apps, ML/CV, and JS/React. Profile: upwork.com/freelancers/~01adc60eaf87e012ae.

Remote: Open to Remote, In-person, or Hybrid

Willing to relocate: Yes

Technologies: Languages - JavaScript, TypeScript, Ruby, Python, SQL

  Frameworks / Libraries - Express, Sinatra, React, Jest, Vitest, LangChain, Selenium, Pandas

  Cloud / Databases - AWS, DocumentDB, MongoDB, PostgreSQL, RDS, SQLite, ChromaDB

  Other - Docker, AI/LLMs, RAG, MCP, SSE, WebSockets

Email: rachrusiecki@gmail.com

Hello! I'm Rachel, a Full-Stack Software Engineer with multiple years of experience in JavaScript, TypeScript, Ruby, and Python. I recently co-created Pendulum (https://www.pendulum-baas.dev/), a reactive Backend-as-a-Service for web applications. I also recently did freelance work incorporating AI agents into Intelliflo Office for a wealth management firm, and am looking for my next permanent role.

Remote: Yes

Willing to relocate: Yes

Technologies: JavaScript, TypeScript, Next.js, React, React Native, Tailwind CSS, Shadcn/UI, HTML/CSS, Responsive Design, Performance Optimization, Python, C#, Flask, .NET, FastAPI, Node.js, Express.js, NestJS, REST APIs, WebSockets, Firebase, Supabase, PostgreSQL, MongoDB, Real-time Streaming Services, Material UI, Scalable Backend Architectures, Media Service Integrations, Microservices, Generative AI, NLP, PyTorch, TensorFlow, OpenCV, OpenAI, ChatGPT, LangChain, LangGraph, DALL-E, Stable Diffusion, Databricks, Vector Databases, Model Optimization, Prompt Engineering, AI agents, Real-time Speech-to-Text, Voice Assistants, Whisper, Deepgram, ElevenLabs, Amazon Polly, LiveKit, AWS (Lambda, SageMaker, Bedrock), Azure (OpenAI, ML, Functions, Blob Storage), GCP (Vertex AI, Cloud Run, BigQuery), Vercel, Netlify, Docker, LangSmith, CI/CD, ClickUp, RAG Systems, Notion, Trello, Semantic Search, Jira, Linear, Slack, Teams, Claude, Cursor, GitHub Copilot

Resume/CV: https://drive.google.com/file/d/1gjJdDJf7H4nERi_kK0Ir2riIV3E...

Email: joshua.r2255@gmail.com

Website: https://choastery.online/

Senior AI Full-Stack Engineer with 10+ years of experience delivering enterprise-scale AI solutions in healthcare. Led development of multimodal clinical assistants that cut documentation time by 40% and built HIPAA-compliant cloud-native platforms across Azure, AWS, and GCP supporting thousands of users. Proven track record designing low-latency backend services and RAG pipelines for real-time decision support. Ready to apply deep AI and full-stack expertise to drive innovative, secure products that improve clinical efficiency and patient outcomes.