AI Outcome Customer Engineer, Forward Deployed Engineering, Google Cloud
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Clera
NewYou'll own agentic infrastructure at a seed-stage startup, building systems that let AI agents execute reliably in production, maintain months of client context, and hand off to humans when needed. The role spans infrastructure design, memory systems, evaluation harnesses, and shipping agent systems for real customers. You need 3+ years shipping LLM agents unattended in production, hands-on experience building eval harnesses for deployment decisions, and strong Python proficiency. Experience with retrieval systems, agent orchestration, and failure recovery patterns is expected. Work is on-site in San Francisco; base salary is $150,000–$250,000 annually with equity, relocation assistance, and visa sponsorship.
Written from this posting by Neural Jobs AI. The full description is below.
You will own the agentic infrastructure at a seed-stage AI startup building the foundational layer for AI-native service operations. This means designing and shipping the systems that let agents execute reliably in production, retain months of client context, and know when to hand off to a human. This is a foundational engineering role at a very early team, with outsized scope and impact from day one.
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 from messy, real-world operational data.
Develop eval harnesses that teams actually trust to make production shipping decisions.
Own the full loop: build it, measure it, break it, fix it, and make it learn.
Ship agent systems for real customers and iterate directly based on production feedback.
Contribute across infrastructure, orchestration, customer collaboration, and early hiring as the team grows.
3+ years shipping LLM agents that ran unattended in production for real users, with a clear understanding that the model is the easy part.
Hands-on experience building eval harnesses that were actually used to make production deployment decisions.
Experience with retrieval and memory systems that work on real, messy operational data, not demo RAG pipelines.
Strong Python proficiency for building production systems end to end.
Experience with agent orchestration, workflow management, or reliability patterns such as failure recovery and retry logic.
Experience building agent tooling, frameworks, or libraries is a strong plus.
Experience with human-in-the-loop or approval workflow systems is a plus.
Track record of intensity and execution: you force things into existence; open-source contributions or a founded technical project are a bonus.
Base salary: $150,000 to $250,000 USD annually.
Meaningful early equity.
Relocation assistance provided.
Visa sponsorship available.
On-site in San Francisco, CA, United States.
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Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.
98 more AI Engineer roles in San Francisco
210K – 250K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 66 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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