Senior Applied AI Engineer

Teamworks • Noblesville, IN

2d

About The Position

I'm Chris Moyer, Director, Engineering at Teamworks. We're accelerating our investment in GenAI to help sports organizations make better decisions faster, and I need someone who can turn that ambition into production-grade reality. This isn't a research role or an experimentation sandbox — it's about shipping AI-powered features that real teams rely on in high-stakes environments.
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

Requirements

• 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)

Nice To Haves

• 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

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
• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed