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Applied AI Engineer

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About the Role

You will own the agentic infrastructure at a well-funded AI infrastructure startup, building the systems that let AI agents execute reliably, retain context over months, and know when to involve a human. This is a founding engineer role where your decisions directly shape how agents plan, remember, fail, and recover in production.

What You'll Do

  • Build and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.

  • Design and implement memory systems that retain months of client context extracted from messy, real-world operational data.

  • Develop eval harnesses that teams actually trust to make production deployment decisions.

  • Own the full loop: build, measure, break, fix, and improve agent systems based on production feedback.

  • Ship agent systems directly to real customers and iterate on them based on live feedback.

  • Contribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.

What We're Looking For

  • 3 or more years shipping LLM agents that ran unattended in production for real users, with a clear understanding that the model is the easy part.

  • Proven experience building eval harnesses that were actually used to make production shipping decisions.

  • Strong Python proficiency applied to production systems, not prototypes.

  • Experience with agent memory management, context retrieval, and orchestration on real operational data (not demo RAG pipelines).

  • Hands-on experience with agent orchestration frameworks, workflow management, or infrastructure tooling.

  • Experience implementing failure recovery, retry logic, or reliability patterns in production agent systems.

  • Bonus: open-source agent tooling contributions, experience with human-in-the-loop or approval workflows, or a founded/led technical project.

  • Exceptional intensity and execution, comfortable owning work well beyond a narrow specialty at an early-stage company.

Compensation & Benefits

  • Base salary: $150,000 to $250,000 USD annually.

  • Equity: meaningful early equity stake.

  • Relocation support and visa sponsorship available.

Location

On-site in San Francisco, CA, United States. Relocation support is provided.

Skills

See also

AI Engineering jobs by country — openings, pay and top skills →

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