Staff AI Engineer - Conversational & Agentic AI
Core
Design and build the agent execution harness (orchestration layer) that enables AI agents to reason over enterprise data, take action across workflows, and run safely at Fortune 500 scale.
Role type
Staff AI Engineer (Agentic AI Infrastructure)
Builds
Agent harness, orchestration runtime, multi-agent coordination systems, and evaluation frameworks
Domain
Enterprise Software / Generative AI / Agentic Systems
Deliverable
production ML models | infrastructure
Required skills
distributed systems, API design, testing discipline, LLM failure modes and context constraints, prompt design at scale, eval engineering, model routing and cost/latency tradeoffs, reliability engineering
Preferred skills
multi-agent coordination patterns (A2A, MCP), agent frameworks (LangChain, LlamaIndex), AI observability tooling, cloud-native infrastructure
Technologies
LLMs, distributed systems, API design, tracing, cost attribution
Responsibilities
Design and build the agent execution harness; own runtime fault tolerance, latency, and throughput; instrument the harness with tracing and cost attribution; build prompt management systems; design evaluation frameworks; integrate with and abstract over frontier LLMs; set technical standards and define system boundaries for agent logic
Seniority
Staff, hands-on IC with technical leadership
