Agentic AI Engineer

Catapult is building sports performance technology that uses data, science, and AI to improve athlete health, readiness, and performance. The Agentic AI Engineer will design and operate reliable multi-agent AI systems, including orchestration, confidence calibration, human-in-the-loop escalation, evaluation, observability, and production testing. The role partners with domain experts to produce grounded, traceable, and actionable recommendations for practitioners.

Responsibilities

• Design and ship specialist AI agents that use memory, tools, data and multi-step reasoning
• Build multi-agent orchestration that routes work between specialist agents, manages dependencies and synthesises conflicting outputs
• Develop systems that evaluate confidence, uncertainty and consequence before recommendations reach a practitioner
• Build human-in-the-loop escalation so the system knows when to answer, when to ask for more information and when to defer to a human
• Create workflows that turn sport scientist expertise into validated, versioned and testable agent capabilities
• Build evaluation, observability and regression testing so agent performance can be measured and improved in production
• Work with domain experts to ensure AI outputs are grounded, traceable and actionable