AI Systems Engineer – Production & Automation

CoreWeave; Sunnyvale (CA); On-site; USD 143,000 - 210,000; Full time

Benefits offered by this job

Medical/Dental/Vision insurance

Life Insurance

Disability insurance

ESPP

401(k) with employer match

Flexible PTO

Tuition Reimbursement

Flexible Spending Account

Health Savings Account

Catered lunch daily

Casual work environment

Mental Wellness benefits

Childcare support (Kinside)

Job summary

CoreWeave is seeking an AI Engineer to design, build, and operate systems that engineers use during real customer incidents, balancing deterministic and AI logic and owning the agent life cycle from concept to production. You will work with engineers to ensure reliability, safety, and measurable impact in production environments.

You will collaborate with support teams, deploy services on Kubernetes, and contribute to a fast-paced, learning-focused culture, while advancing AI tooling and

Qualifications

• 3+ years of professional software engineering experience with Go or Python.
• Experience taking an AI application from prototype to production 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 held-out data.
• Experience designing controls for automation that acts on production systems, such as approval steps, idempotency, and audit trails.
• Experience diagnosing failures in LLM applications and fixing the underlying cause rather than the symptoms.
• Experience with observability for LLM applications, including tracing, cost, and latency.
• Working knowledge of Kubernetes and CI/CD for deploying services.
• Experience integrating with third-party APIs, including authentication and secrets handling.

Responsibilities

• 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 which the system should stop.
• 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.
• Deploy and operate your own services on Kubernetes, including supporting them when something breaks.
• Partner with support engineers and domain experts, including sitting in on live investigations to see where automation helps and where it gets in the way.

Skills

Go

Python

AI systems

Agent patterns

Retrieval systems

Automation controls

LLM troubleshooting

Observability

Kubernetes

CI/CD

APIs integration

Tools

Kubernetes

CI/CD

Cloud APIs

Job description

CoreWeave is seeking an AI Engineer to design, build, and operate systems that engineers use during real customer incidents, balancing deterministic and AI logic and owning the agent life cycle from concept to production. You will work with engineers to ensure reliability, safety, and measurable impact in production environments.

You will collaborate with support teams, deploy services on Kubernetes, and contribute to a fast-paced, learning-focused culture, while advancing AI tooling and