Agentic AI Engineer)

About the role

The Agentic AI Engineer is a pivotal role in building the AI layer that compounds everything Catapult has ever measured. The goal is ambitious: to become the indispensable intelligence partner for every coach and athlete in every sport.

Responsibilities

• Design and build the specialist AI agents that form the core of the platform’s intelligence layer — each one reasoning over a different dimension of athlete performance, from strength and conditioning to recovery, readiness, and beyond.
• Develop the workflow engine that encodes domain scientist expertise into validated, versioned agent skills at scale, working directly with sport scientists to translate their judgment into calibration signals the system can act on reliably.
• Arcitect and build the decision intelligence layer that sits between agent outputs and practitioner delivery — combining confidence weighting, consequence classification, and human escalation logic to ensure every recommendation is defensible before it reaches a coach or performance director.
• Build toward the platform’s signature product experience: multiple specialist agents working together on a single complex question, synthesizing their findings into one coherent, traceable, calibrated recommendation in seconds.

Requirements

• 5+ years in applied ML or AI engineering, with at least 2 years building production agentic AI systems — not chatbots, not RAG pipelines alone, but systems with memory, tool use, multi-step reasoning, and calibrated outputs
• Deep experience with multi-agent frameworks and orchestration: dependency-aware routing, specialist agent composition, response synthesis across conflicting outputs
• Hands-on experience with confidence calibration and evaluation frameworks for probabilistic systems — you understand Platt scaling, isotonic regression, and ECE, and you have built evaluation harnesses that run against full input distributions
• Production RAG experience with reranking — you know that retrieval quality determines answer quality and have built pipelines that prove it
• Experience fine-tuning or adapting foundation models for specific domains — knowledge injection, not general text
• Strong Python, Golang; experience with LLM observability and drift detection in production
• Strongly Preferred: Experience building knowledge acquisition workflows for domain-specific AI — annotation interfaces, version-controlled knowledge bases, review queues, regression testing against skill updates
• Background working with domain scientists or clinical practitioners to encode expert knowledge into AI systems — you know how to translate judgment into calibration signals
• Experience with human-in-the-loop architectures: escalation models, confidence thresholds, consequence classification
• Familiarity with sports science, biomechanics, or performance data — understanding what "acute-to-chronic workload ratio" means matters in this role
• Experience with causal or counterfactual reasoning in AI systems — not just pattern matching
• Experience working with AWS (ECS, EC2, Lambda, SNS, SQS, etc), GraphQL, REST, gRPC, Postgres, Mongo

Qualifications

• Passionate about building and shipping agentic systems
• Experience with sports science, biomechanics, or performance data
• Understanding of sports science concepts like "acute-to-chronic workload ratio"
• Experience with causal or counterfactual reasoning in AI systems
• Experience with AWS services
• Experience with human-in-the-loop architectures

Skills

• Applied ML or AI engineering
• Multi-agent frameworks and orchestration
• Confidence calibration and evaluation frameworks
• Production RAG experience
• Foundation model fine-tuning or adaptation
• Python, Golang programming
• LLM observability and drift detection
• Domain scientist collaboration
• Sports science, biomechanics, or performance data expertise
• Causal or counterfactual reasoning
• AWS services
• Human-in-the-loop architectures

Benefits

Compensation & Benefits: The target Total Compensation range for this position is $107,250 - $214,500 per year. This range is inclusive of base salary and a target incentive plan (which may include equity, commission, or other bonus structures). Your specific compensation within this range will be determined by factors such as your geographic location, relevant experience, and job-related skills. In addition to this compensation, Catapult also offers generous paid leave and recognized company holidays, and the opportunity to participate in our comprehensive benefits package, including Health, Dental, and Vision insurance, and 401(k) retirement plan with company match.

Pay

$107,250 - $214,500 per year

Schedule

N/A