Applied AI Engineer

Job Description

Job Description

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.