AI Infrastructure Engineer
About the role
You'll build the model gateways, orchestration, and observability infrastructure that internal and client AI systems depend on — the platform layer that makes every other team's work faster and safer to ship.
What you'll do
- Build and operate model gateway and orchestration infrastructure
- Design observability and tracing systems for AI workloads
- Own platform reliability, cost, and scaling
- Set security and access-control standards for AI infrastructure
What we're looking for
- 5+ years of infrastructure or platform engineering experience
- Experience operating production systems on Kubernetes
- Strong fundamentals in distributed systems and observability
Nice to have
- Experience building internal developer platforms
- Experience with AWS, Azure, or Google Cloud at scale
How we work
Understand
Identify the business problem, system constraints, data environment, and measurable outcome.
Architect
Define system boundaries, model strategy, retrieval design, data architecture, and production constraints.
Build
Implement production systems directly with client product and engineering teams.
Operate
Evaluate, observe, improve, and harden systems after launch.
Compensation
- Equity
- Health, dental, and vision coverage
- Flexible PTO
Equal opportunity
We are an equal opportunity employer and evaluate all candidates without regard to race, color, religion, sex, national origin, age, disability, or any other legally protected status.
- San Francisco, CA
- Engineering
- Full-time
- $170K–$210K