AI Engineer
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You'll build infrastructure for AI agents in production, owning systems for reliable task execution, context retention, and human involvement. Requires at least three years shipping LLM agents in production, strong Python, and hands-on experience with agent orchestration, failure recovery, memory systems, and evaluation frameworks. On-site in San Francisco; $150,000–$250,000 annually plus equity.
Written from this posting by Neural Jobs AI. The full description is below.
Join an early-stage team building AI infrastructure for service businesses. As an Applied AI Engineer, you will own the systems that help agents execute tasks reliably, retain useful context, and involve people when needed. Your work will shape how agent systems plan, recover from failures, and improve in production.
Build and maintain infrastructure that enables agents to complete tasks reliably across many steps.
Design memory and retrieval systems that preserve relevant context from complex operational data.
Develop evaluation harnesses that teams can use to make informed production release decisions.
Measure agent performance, investigate failures, and improve reliability and recovery patterns.
Ship agent systems to customers and iterate based on production feedback.
Contribute across orchestration, infrastructure, customer collaboration, and technical team growth.
At least 3 years of experience building and shipping LLM agents that ran unattended in production for real users.
Strong Python skills and experience building production systems.
Experience creating evaluation harnesses that have informed production deployment decisions.
Hands-on background in agent orchestration, infrastructure, workflow management, or reliability engineering.
Experience with retry logic, failure recovery, and other production reliability patterns for agents.
Experience building memory and context retrieval systems for messy operational data, beyond demo datasets.
Experience developing agent tools, frameworks, or libraries; open-source contributions or leading a technical project from idea to production are also relevant.
Base salary is $150,000 to $250,000 USD annually, with meaningful early equity. Relocation assistance and visa sponsorship are available.
This is an on-site position in San Francisco, United States.
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103 more AI Engineer roles in San Francisco
200K – 250K
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