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
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Build and maintain core infrastructure that enables agents to execute tasks reliably across dozens of iterations.
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Design and implement memory systems that retain months of client context extracted from messy, real-world operational data.
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Develop eval harnesses that teams actually trust to make production deployment decisions.
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Own the full loop: build, measure, break, fix, and improve agent systems based on production feedback.
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Ship agent systems directly to real customers and iterate on them based on live feedback.
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Contribute across infrastructure, orchestration, customer collaboration, and early hiring as needed.
What We're Looking For
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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.
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Proven experience building eval harnesses that were actually used to make production shipping decisions.
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Strong Python proficiency applied to production systems, not prototypes.
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Experience with agent memory management, context retrieval, and orchestration on real operational data (not demo RAG pipelines).
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Hands-on experience with agent orchestration frameworks, workflow management, or infrastructure tooling.
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Experience implementing failure recovery, retry logic, or reliability patterns in production agent systems.
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Bonus: open-source agent tooling contributions, experience with human-in-the-loop or approval workflows, or a founded/led technical project.
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Exceptional intensity and execution, comfortable owning work well beyond a narrow specialty at an early-stage company.
Compensation & Benefits
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Base salary: $150,000 to $250,000 USD annually.
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Equity: meaningful early equity stake.
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Relocation support and visa sponsorship available.
Location
On-site in San Francisco, CA, United States. Relocation support is provided.
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