Role overview
About The Role
We are looking for an experienced AI Engineer who specializes in building agents and agentic systems—from task-orchestration agents to workflow automation agents, retrieval-augmented agents, research/coding agents, multimodal agents, and domain-specific autonomous agents.
This is a full-stack AI engineering role, ideal for someone who loves shipping: rapid MVPs → stable production, high ownership, and fast problem-solving. Candidates must have built and deployed at least two AI agents in production in the past 12 months and be comfortable operating in high-velocity environments.
What we're looking for
- Experience building MCP servers or integrating with MCP tools.
- Experience with structured function-calling workflows (JSON schema, tool plans, agent graphs).
- Background in building internal agent frameworks or automation engines.
- Experience designing evaluation frameworks for agents (task completion metrics, scenario tests).
- Familiarity with workflow engines (Temporal, Airflow, Prefect).
- Work directly with founders and senior leaders driving AI-first transformation.
- Build real agents used daily — not research prototypes.
- High autonomy + high impact environment.
- Opportunity to shape the foundation of agentic systems across the org.
- Competitive compensation + massive growth opportunity.