Location: San Francisco, CA, USA

Remote: Yes (open to hybrid or remote)

Willing to relocate: Yes (SF, NYC, Austin, or other US tech hubs)

Technologies: Python, JAVA, C++, FastAPI, TypeScript, React, PostgreSQL, SQLite, Docker, AWS, PyTorch, LLM APIs (OpenAI/Anthropic), LangChain

Résumé/CV: https://darshannere.com | https://github.com/darshannere

Email: darshan.nere2@gmail.com

I build AI agent infrastructure. Most recently: Tracea (tracea.dev), an open-source observability platform for AI agent teams that patches the HTTP transport layer to trace LLM calls without any framework changes — no SDK wrappers, no code changes, just install and instrument. Also built ObservAgent (1000+ active users, open source).

Research side: co-authored a paper on failure-aware penetration testing - training LLMs to emit typed failure tokens so failure recognition becomes a structured recovery signal rather than an implicit state.

Prior: full-stack engineer shipping software to 50k+ users.

Looking for full-stack or AI/ML engineering roles at early-stage or growth-stage companies working on production AI systems - LLM integration, agent infrastructure, or observability. High ownership, real users, hard problems.