Staff AI Engineer
Core
Design and implement multi-agent execution loops, planning strategies, tool interfaces, and resilient stateful workflows for agentic systems.
Role type
Staff AI Engineer (Agentic Systems)
Builds
Production-grade multi-agent systems with delegation, coordination, and verification capabilities.
Domain
Artificial Intelligence / Agentic Systems / LLM Operations
Deliverable
production ML models
Required skills
Multi-agent system design, LLM tool use and context engineering, browser/computer automation, asynchronous service development, state machine implementation, concurrency and failure recovery, experimental design and evaluation, system architecture ownership
Preferred skills
Agent memory and retrieval, reinforcement learning, distributed systems, inference optimization, multimodal models
Technologies
Python, TypeScript
Responsibilities
Design agent execution loops and planning strategies; build multi-agent delegation and coordination; ensure workflow resilience via checkpoints and recovery; evaluate models and emerging techniques; set engineering standards and review design decisions; partner on production services and observability
Seniority
Staff, hands-on IC with architectural ownership