Agentic AI Engineer)
Catapult Sports · New York, NY
$107,250–$214,500from the description
Jul 27, 2026
New York, NY
Jul 28, 2026
What this job asks for AI summary
An Agentic AI Engineer role at a sports performance technology company, focused on designing and shipping production-grade multi-agent AI systems that reason over athlete performance data. The engineer will build specialist agents, a workflow engine for encoding domain-scientist expertise into versioned agent skills, and a decision intelligence layer with confidence calibration, escalation logic, and provenance tracing. The role suits someone with a track record of deploying trustworthy agentic systems — not prototypes — in production environments.
Senior level · 5+ years · Remote · Full-time
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 7,100 people nationally plausibly meet what this posting asks for (software developers). range 2,100–10,700
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $107,524–$175,762). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
Location is not specified in the posting; the role appears to be remote or location-flexible based on the compensation range covering multiple geographies. No CBSA has been assigned.
The SOC classification is a close call: the role is primarily about building production software systems (agentic AI pipelines, orchestration engines, decision layers), which points to Software Developers (15-1252), but the depth of ML/calibration work (Platt scaling, isotonic regression, ECE, fine-tuning foundation models) also fits Data Scientists (15-2051). Software Developers was chosen as primary because the emphasis is on shipping production systems and architecture, not on statistical modeling research.
The compensation range of $107,250–$214,500/year is described as 'Total Compensation' inclusive of base salary plus a target incentive plan (equity, commission, or other bonus); the base salary alone may be lower.
The 5+ years overall experience requirement is stated at the role level; the 2+ years building production agentic AI systems is a sub-requirement within that and has been captured as context rather than a separate skill-level years demanded.
Skills such as Platt scaling, isotonic regression, ECE, and confidence calibration frameworks are genuine technical requirements but name statistical methods rather than discrete named tools/products, so they are not emitted as individual skill entries per the extraction rules. They are noted here for the hiring manager's awareness.
AWS, GraphQL, REST, gRPC, PostgreSQL, and MongoDB appear under the 'Strongly Preferred' section and are marked accordingly.
Read the full posting
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