Staff AI-Native DevOps Engineer
San Diego, CALIFORNIA, United StatesNorth America
This is an applied AI engineering role, not a traditional support role. When a customer needs direct engineering, you will debug and ship.
Agentic workflows that take over support functions: intake, classification, context gathering, reproduction, diagnosis, response drafting, remediation, verification, and follow-up.
Tool-using agents that safely inspect runs, logs, auth state, configuration, and provider behavior, then propose or execute bounded recovery actions.
Eval suites for diagnostic correctness, resolution quality, safe escalation, customer communication, and end-to-end task completion.
Human-in-the-loop systems that make ownership, uncertainty, approvals, handoffs, and failure states explicit.
You have built production systems with language models, tool calling, retrieval, structured outputs, multi-step workflows, or agent memory.
You know how to use models and coding agents as leverage, and where their non-determinism creates hidden risk.
You use evals, traces, failure analysis, and fast iteration to make AI systems dependable.
You are an experienced backend, platform, or integration engineer who has shipped and operated production software.
Experience: Senior-level · 2–4 years · Job type: Full-time
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