Overview
Staff-level engineering leader to build and operate reliable, scalable AI-powered platform systems that serve enterprise customers, mentoring engineers and owning the technical roadmap.
What you'll do
- Architect for Scale: design and implement distributed systems that power AI agents processing thousands of requests per hour, ensuring reliability, performance, and cost-efficiency
- Build Engineering Excellence: establish comprehensive testing strategies, observability systems, and CI/CD pipelines that catch issues before customers do
- Lead Through Expertise: mentor a team of engineers, sharing experience in building production systems
- Drive Platform Evolution: own the technical roadmap for the AI platform, making architectural decisions that will shape systems for years to come
- Bridge AI and Engineering: collaborate with ML engineers and researchers to productionize cutting-edge AI capabilities while maintaining system stability
What you'll need
- 7+ years building and operating distributed systems in production
- Track record of improving system reliability (taking services from frequent outages to 99.9%+ uptime)
- Deep expertise in modern engineering practices: microservices, containerization (Kubernetes), infrastructure as code
- Experience leading technical initiatives and mentoring engineering teams
- Strong coding skills with ability to work across the stack
- Excellence in debugging production issues and implementing comprehensive observability
- History of making pragmatic trade-offs between perfect and shipped
Nice to have
- Experience with LLM applications, agent frameworks, or AI/ML infrastructure
- Familiarity with prompt engineering, RAG patterns, vector databases
- Background at high-growth companies or modern engineering cultures
- Experience with multi-model AI systems (OpenAI, Anthropic, Google, etc.)
Details
- Location: San Francisco, California, United States
- Compensation range: $203,000 to $304,000 USD base, plus possible equity and a benefits program
Read the full description and apply on the company’s own careers page.