Senior Agent Systems Engineer Location: SF Bay Area (On-site) We’re representing a frontier AI research group building autonomous systems that can reason, plan, and operate complex real-world engineering workflows. This is a core engineering role shaping how intelligent agents interact with tools, data, and long-horizon tasks. ⭐ The Opportunity Join a small, high-performing team designing the orchestration, planning, and execution layer that enables LLM-driven agents to reliably complete multi-step engineering processes. What You’ll Do Build agent planning and orchestration systems that coordinate tool calls, workflows, and long-horizon tasks Design schemas, action interfaces, and deterministic execution flows Implement robust error-handling, rollback, retry, and reproducibility strategies Own the tooling logic that connects agents to real engineering stacks Partner with ML researchers, infra teams, and domain experts to deliver production-grade agent systems What You Bring Experience building agent systems, orchestrators, tool-use frameworks, or structured LLM pipelines Strong systems-engineering fundamentals — deterministic thinking, reliability, and failure-mode awareness Comfort designing workflows that integrate with complex real-world tools Ability to work in a fast, experimental environment where robustness matters Why This Role Excites People Build agent systems that control real physical-world workflows , not just simulations Huge scope for technical ownership and creative problem-solving Mission-driven environment focused on breakthrough autonomy Competitive salary + strong equity in a fast-scaling AI organization Interested? If you’re passionate about building reliable, intelligent agent systems at the cutting edge of AI and autonomy, we’d love to speak.
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