Design, build, and own core components of the agent platform, from the orchestration layer to the tool integrations connecting it to internal systems.
Build and evolve the capabilities layer: APIs, data access patterns, and service integrations for agents to execute operational workflows.
Architect the knowledge and memory infrastructure, allowing agents to retrieve the data and act across our systems.
Design and implement the trust and safety framework, including audit trails, human-in-the-loop controls, and guardrails for safe and auditable AI-driven operations.
Contribute to agent evaluation and testing infrastructure, defining how we measure accuracy, reliability, and regression across agent behaviors.
Partner directly with Operations to understand workflows, identify automation opportunities, and translate process knowledge into agent capabilities.
Mentor other engineers on the team as it grows.
Requirements
Holds at least 5 years of backend systems engineering experience
Experience with AI/LLM agent platform development
API design & system integration experience
Must be product thinking
Must have experience with owning projects and be comfortable with self-direction