Builds and maintains AI infrastructure for developer tools, focusing on integrating language models into workflows, creating autonomous agents, and optimizing reliability, latency, and cost while mentoring engineers.
You architect and maintain secure AI infrastructure that integrates language models into developer workflows. You build autonomous agents, retrieval systems, evaluation frameworks, code-safety guardrails, and intelligent automation while improving reliability, latency, cost, and developer productivity. You also provide technical leadership, mentor engineers, and monitor production systems.
Responsibilities
Architect AI core infrastructure
Design internal platforms and APIs for language-model integration
Build autonomous agents and retrieval-augmented generation systems
Establish AI engineering practices and evaluation frameworks
Implement code-safety guardrails
Optimize model latency and token spend
Collaborate with engineering, infrastructure, and security teams
Eliminate developer productivity bottlenecks
Monitor system health and diagnose integration issues