LLM / Agent Systems Engineer (Robotics)
UMATR · ·
About the Role
LLM / Agent Systems Engineer (Robotics) San Francisco | up to $250k USD Join a highly technical team building agent systems that operate in complex, real-world environments . This is a hands-on engineering role at the intersection of large language models, multi-agent systems, and production-grade infrastructure - focused on shipping systems that are robust, scalable, and reliable under real constraints, not just experimental prototypes. What you’ll be working on Building and operating single-agent and multi-agent systems in production Designing and iterating on multimodal agent architectures Integrating agent systems into real operational workflows Contributing to a large, shared production codebase with high engineering standards Improving inference efficiency, deployment reliability, and system-level performance What we’re looking for Experience building and shipping agent-based or LLM-powered systems Strong software engineering fundamentals with production-grade experience Comfort working in large, evolving codebases with multiple contributors Familiarity with modern LLM/agent tooling and development patterns Strong systems thinking and attention to reliability, correctness, and edge cases Ability to operate in fast-moving environments with real-world constraints Nice to have Background in early-stage startups working on applied AI or agent systems Deep familiarity with the modern LLM/agent ecosystem Experience taking experimental AI systems into production at scale What’s in it for you Work on agent systems that go beyond research and actually run in production Solve hard, open-ended problems in multi-agent coordination and system reliability Build and ship systems where correctness and real-world performance actually matter Join a small, high-ownership team with significant technical autonomy Work at the frontier of applied AI systems that interact with real operational environments If you’re excited about building agent systems that are used in real production settings - not just experiments or demos - apply today! Show more Show less
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