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Senior Applied AI Engineer

Teamworks - United States

Posted May 27, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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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

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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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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