AI Engineer

Job summary

Responsibilities

The Field Engineering organization at CoreWeave supports the clients running some of the largest AI workloads in the world. This team builds the tooling that engineers rely on to identify and diagnose customer issues faster.

• Design and build AI agents that investigate and act on real customer issues.
• Build the safeguards that make that safe: grounding model output in authoritative data, requiring human approval before consequential actions, and defining the conditions under…
• Build and evaluate retrieval over a large body of historical support data, measured against how experienced engineers handled the same problems.
• Determine the optimal balance between AI and deterministic logic.
• Instrument these systems for quality, cost, and adoption, then use what you learn to decide what to build next.

What they're looking for

• 3+ years of professional software engineering experience, with strong proficiency in Go or Python.
• Experience taking an AI application from prototype to production use and supporting it afterward.
• Hands-on experience with agent patterns: tool and function calling, multi-step orchestration, and handling incorrect model output.
• Experience building and evaluating retrieval systems, including measuring quality against a baseline using held-out data.
• Experience designing controls for automation that acts on production systems, such as approval steps, idempotency, and audit trails.

Tech stack

• Kubernetes
• Go
• Python