This role sits at the intersection of frontier AI research and production engineering to build trustworthy autonomous AI agents
Job Summary
This role sits at the intersection of frontier AI research and production engineering to build trustworthy autonomous AI agents.
The successful candidate will investigate open problems in agentic AI and immediately translate findings into production-ready Python services and SDK modules.
Candidates must possess deep expertise in agent memory, inference efficiency, or long-horizon task reliability to drive commercial viability at scale.
Matching Summary
Match Score: 85
This role sits at the intersection of frontier AI research and production engineering to build trustworthy autonomous AI agents.
Skills & Requirements
Must-have
Python and Node.js/TypeScript backend development
Large language models and agent frameworks
Inference serving and retrieval architectures
Async Python with FastAPI and asyncio
Kubernetes and containerization experience
Vector and relational database management
Distributed tracing with OpenTelemetry
Nice-to-have
Experience translating research to production systems
Track record of peer-reviewed publications
Knowledge of modern AI agent communication protocols
Mentoring junior engineers and researchers
Cross-functional collaboration with product managers
Key Requirements
Bachelor's degree in Computer Science or equivalent experience
5 years of experience with Python and/or Node.js/TypeScript
5 years of hands-on experience with AI/ML systems
3+ years of applied research with published or integrated artifacts
Master's or PhD in Computer Science strongly preferred