Member of Technical Staff (Applied AI Engineer, Agent Capabilities)
Core
Building foundational agent capabilities that turn frontier AI model breakthroughs into reliable, scalable product features for users and agents.
Role type
Senior IC Applied AI Engineer (Agent Systems)
Builds
Production agent systems, tools, plugins, and multi-agent collaboration features
Domain
Generative AI, Agent Systems, Platform Engineering
Deliverable
production ML models | product features
Required skills
Software engineering fundamentals, AI/ML product lifecycle ownership, agent harness design, tool use and context engineering, model evaluation, distributed systems, backend services
Preferred skills
LLM context engineering, subagent architecture, long-running autonomous task execution, mid/post-training and reinforcement learning, AI/ML research publications
Technologies
Python, Go, Rust, PostgreSQL, DynamoDB, AWS, TypeScript
Responsibilities
Evaluate frontier models against real user tasks and turn advances into production agent systems; Improve agents' planning, tool use, context management, and error recovery; Design scalable agent capabilities like skills, plugins, and auto-research; Own agent behavior end-to-end including offline/online evaluation and monitoring; Build secure, observable agent systems with permissions and safeguards; Collaborate with PM, Data Science, and Research to productize complex agent behaviors
Seniority
Senior, hands-on IC with technical leadership