As a Staff AI Engineer, you will own significant parts of the agent harness — the infrastructure layer that enables AI agents to reason over real enterprise data, take action across workflows, and run safely at Fortune 500 scale.
base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and benefits
- Design and build the agent execution harness — the orchestration layer that routes inputs, manages context, invokes tools, handles retries, and surfaces execution state across multi-step agentic workflows
- Own the runtime's fault tolerance, latency, and throughput; design for enterprise workflows that cannot fail silently or unpredictably
- Instrument the harness with tracing, cost attribution, and latency visibility so the team can reason about agent behavior in production and catch failures before customers do
- Build prompt management systems — versioning, templating, and systematic evaluation — that keep agent behavior stable across model updates and configuration changes
- Design and own evaluation frameworks (unit evals, integration evals, production monitors) that measure agent quality, catch regressions, and drive data-informed decisions
- Nice to have: multi-agent coordination patterns (A2A, MCP)
- Nice to have: LangChain
- Nice to have: LlamaIndex
- Nice to have: AI observability tooling
- Nice to have: cloud-native infrastructure
Sr. Data EngineerNewSelective Insurance Company of America · Charlotte, US