Applied AI Engineer

TeamworksNoblesville, IN

About The Position

Teamworks is hiring an Applied AI Engineer to build GenAI features within their Coaching product. This role is crucial for leveraging GenAI to help sports organizations make better decisions faster and translate that ambition into production-grade reality. The engineer will be responsible for shipping features that real teams depend on in high-stakes environments. Teamworks Coaching is a video-first analytics platform that syncs performance data with game-film, transforming it into actionable insights for coaches. The Applied AI Engineer will own GenAI features that reach a broad user base and contribute to shaping the future of sports analytics.

Requirements

  • 3+ 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
  • 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)

Nice To Haves

  • Experience integrating AI-driven workflows into React-based user interfaces
  • Familiarity with Infrastructure as Code (Terraform or similar) and cloud-native deployment practices
  • Experience with observability and evaluation for AI-powered systems (logging, metrics, regression checks)
  • Exposure to data platforms or lakehouse-style architectures

Responsibilities

  • 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
  • Partner with Product, Design, and domain subject-matter experts to deliver trustworthy, explainable AI experiences that align with real user workflows

Benefits

  • The opportunity to define how the engineering organization builds with GenAI
  • Real architectural ownership
  • A platform mandate
  • The opportunity to set standards that outlast any single feature
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