Senior Applied AI Engineer

Teamworks is a leading sports tech platform that is accelerating its investment in GenAI to enhance decision-making for sports organizations. They are seeking a Senior Applied AI Engineer to design and build AI-powered product experiences, contributing to the development of reliable, production-ready GenAI capabilities across their product suite.

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
• Enable product engineering teams to ship AI-powered features by providing shared infrastructure, technical guidance, and hands-on integration support
• 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
• 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)
• Experience integrating AI-driven workflows into React-based user interfaces
• Familiarity with Infrastructure as Code (e.g., Terraform) and cloud-native deployment practices
• Experience with observability and evaluation for AI-powered systems (e.g., logging, metrics, regression checks)
• Exposure to data platforms or lakehouse-style architectures
• Interest in sports analytics, performance data, or complex domain-driven products