Senior Applied AI Engineer
Teamworks - United States
Posted May 27, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Not verified
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
- Company stage
- Growth-stage From the posting source checked Jun 20, 2026
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Applied AI Engineer United States I'm Michael Song , Senior Director, Engineering at Teamworks, and I'm hiring a Senior Applied AI Engineer to build GenAI inside our Hub product. We're investing heavily in GenAI to help sports organizations make better decisions faster, and I need someone who can turn that ambition into production-grade reality. The work is shipping features that real teams depend on in high-stakes environments. Teamworks Hub powers more than 6,500 sports organizations and is now expanding into high-performance tactical environments through the Army's H2F program. On the Hub team, you'll own GenAI features that reach a broad and demanding user base, and you'll help shape the platform capabilities other Teamworks products depend on every day. The Role - Design, build, and ship production-grade GenAI features that help teams explore data, ask better questions, and trust the answers they get - Own GenAI features end-to-end, from system design and LLM integration through deployment, monitoring, and iteration - Build and maintain reusable GenAI platform components that make it easier and safer for teams across Teamworks to ship AI-powered features - Establish and document best practices for building, testing, and operating GenAI systems reliably in production - Make architectural decisions that balance speed, scalability, reliability, security, and cost in a multi-tenant data environment - Partner with Product, Design, and domain subject-matter experts to deliver trustworthy, explainable AI experiences that align with real user workflows What I'm Looking For What You Must Bring - 6+ years of professional software engineering
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