Senior Applied AI Engineer

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 experience building and operating production systems with real customer impact Proven experience shipping GenAI-powered or ML-enabled features to production, with ownership beyond prototypes or demos Strong proficiency in TypeScript and Node.js, including building and maintaining backend services and APIs Solid system design and architecture skills, with experience designing distributed, reliable, and observable services Strong data reasoning and SQL fundamentals, including aggregation, time-based analysis, and performance considerations Hands-on experience designing and operating production GenAI systems with prompts, tool interfaces, guardrails, and failure handling in cloud environments (AWS preferred) Even Better If You have experience integrating AI-driven workflows into React-based user interfaces You're familiar with Infrastructure as Code (Terraform or similar) and cloud-native deployment practices You have experience with observability and evaluation for AI-powered systems (logging, metrics, regression checks) You have exposure to data platforms or lakehouse-style architectures Why This Role GenAI is moving from a feature to a foundation at Teamworks, and the person in this role will help define how the entire engineering organization builds with it. You'll have real architectural ownership, a platform mandate, and the opportunity to set standards that outlast any single feature. About Teamworks We're the Operating System for Sports™, powering 6,500+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we've evolved from a messaging tool for college football into the leading sports tech platform, with 500+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win. Teamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you'll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected] . To all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.

{
  "content_hash": "a96cf83942e78568118e7188e658c366b5e41bffd5607d2cb985bf19bda853f8",
  "source_hash": "ea5802132421b4795442eda9c7fe8da25493c99d2839d9bac42b8706e4f70d36",
  "last_changed_at": "2026-05-29T06:39:12.163Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "United States",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T09:18:53.291Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "United States",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "id": "2564b994-e9ce-4aa1-8400-9f143c79b635",
  "team": "R&D, Engineering",
  "title": "Senior Applied AI Engineer",
  "jobUrl": "https://jobs.ashbyhq.com/teamworks/2564b994-e9ce-4aa1-8400-9f143c79b635",
  "address": null,
  "applyUrl": "https://jobs.ashbyhq.com/teamworks/2564b994-e9ce-4aa1-8400-9f143c79b635/application",
  "isListed": true,
  "isRemote": true,
  "location": "United States",
  "updatedAt": null,
  "apiVersion": "ashby-non-user-graphql-v1",
  "department": "R&D",
  "publishedAt": null,
  "workplaceType": "Remote",
  "employmentType": "FullTime",
  "secondaryLocations": []
}