Agentic AI Engineer)
Core
Design and build specialist AI agents and a workflow engine to encode domain scientist expertise into validated agent skills for sports performance optimization.
Role type
Senior IC Agentic AI Engineer
Builds
Production agentic AI systems, workflow engines, and decision intelligence layers for sports teams
Domain
Sports technology and performance analytics
Deliverable
production ML models
Required skills
Multi-agent frameworks and orchestration, confidence calibration and evaluation frameworks, production RAG with reranking, fine-tuning foundation models, Python, Golang, LLM observability and drift detection
Preferred skills
Knowledge acquisition workflows, human-in-the-loop architectures, sports science domain knowledge, causal or counterfactual reasoning, AWS infrastructure, GraphQL/REST/gRPC
Technologies
Python, Golang, AWS (ECS, EC2, Lambda, SNS, SQS), Postgres, Mongo
Responsibilities
Design specialist AI agents reasoning over athlete performance dimensions; develop workflow engines encoding expert knowledge; architect decision intelligence layers with escalation logic; build multi-agent synthesis for coherent recommendations
Seniority
Senior, hands-on IC