AI Engineer: Build Production-Grade AI Agents

CoreWeave; New York (NY); On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with employer match

Paid Parental Leave

Catered lunch in office and dataCenter

Job summary

CoreWeave is hiring an AI Engineer to design, build, and operate systems used during real customer incidents. You will own agent logic, retrieval, safeguards, and measurement, delivering reliable services that engineers rely on in production.

Collaboration with engineers who use what you build is essential in this full-ownership role. You will balance deterministic and AI systems, implement safeguards, and ensure agents perform safely with measurable outcomes.

Qualifications

• 3+ years of professional software engineering experience with Go or Python.
• Experience taking an AI application from prototype to production.
• Hands-on experience with agent patterns: tool and function calling, multi-step orchestration.
• Experience building and evaluating retrieval systems with held-out data.
• Experience designing controls for automation on production systems.

Responsibilities

• Design and build AI agents that investigate and act on real customer issues.
• Build safeguards grounding model output in authoritative data and require human approval when needed.
• Develop and evaluate retrieval over large history of support data.
• Balance AI and deterministic logic for production use.
• Instrument systems for quality, cost, and adoption; plan next features.
• Deploy and operate services on Kubernetes and support them in production.
• Collaborate with support engineers and domain experts during live investigations.

Skills

Go

Python

LLM debugging

Agent patterns

Retrieval systems

Kubernetes

CI/CD

Security/auth

Observability

Incident support

Tools

Kubernetes

Job description

CoreWeave is hiring an AI Engineer to design, build, and operate systems used during real customer incidents. You will own agent logic, retrieval, safeguards, and measurement, delivering reliable services that engineers rely on in production.

Collaboration with engineers who use what you build is essential in this full-ownership role. You will balance deterministic and AI systems, implement safeguards, and ensure agents perform safely with measurable outcomes.