Staff Software Engineer, AI Foundations (Agent Optimization)
Core
Design tools and mechanisms to optimize AI agents for token spend and response time while maintaining result quality, including model routing, multi-agent architecture, cache policy, and context management.
Role type
Staff Software Engineer (AI Agent Optimization)
Builds
Open-source programming model and agentic coding systems for developers
Domain
Generative AI, Agent Systems, Distributed Systems
Deliverable
production ML models | product features
Required skills
AI system optimization, agentic coding patterns, concurrent programming, API design, technical documentation, multi-language fluency (Python, TypeScript, Java, Go)
Preferred skills
Open source contributions, large-scale distributed systems architecture, machine learning systems background
Technologies
Python, TypeScript, Java, Go
Responsibilities
Design and build agentic coding systems, maintain deep understanding of agentic coding, take end-to-end ownership of new features, serve as domain expert on AI design patterns, write public technical documentation
Seniority
Staff, hands-on IC with strategic influence
