Staff Applied AI Engineer

Department: R&D

Location: United States

Compensation: $216K • Offers Equity • Offers Bonus

Employment Type: FullTime

The Opportunity

Teamworks is accelerating its investment in AI to help sports organizations make better decisions faster, from how they analyze performance data to how they operate day to day. We are hiring a Staff AI Engineer to help define the architecture and platform capabilities that enable AI powered product experiences across the Teamworks platform.

This is a high impact role on the Data & GenAI team, where you will design and guide the systems that allow multiple product teams to build reliable AI powered features at scale. You will establish architectural patterns, build foundational platform capabilities, and provide technical leadership that helps Teamworks move from experimentation to trusted production AI systems.

What You'll Do

• Design and define the architecture for production AI systems across the Teamworks platform, including model orchestration services, tool execution layers, evaluation pipelines, and guardrails.

• Build reusable backend platform components that allow product teams to integrate AI powered capabilities into their products without rebuilding core infrastructure.

• Evaluates and selects appropriate technologies, frameworks, and architectural patterns based on long term scalability, reliability, and team productivity.

• Establish engineering standards for building, testing, deploying, and operating AI systems in production, including monitoring, evaluation, and failure handling.

• Lead the design and delivery of foundational platform capabilities that enable multiple teams to build and ship AI powered product features.

• Design backend services that safely query and operate on multi tenant sports data while enforcing strict data isolation and access controls.

• Lead complex cross team engineering initiatives that improve system reliability, reduce infrastructure cost, and accelerate delivery of AI powered capabilities.

• Mentors engineers on backend architecture, distributed systems, and GenAI system design.

What You'll Bring

Must-haves:

• 8+ years of professional software engineering experience building and operating production systems with significant customer impact.

• Proven track record of designing and delivering production AI or machine learning powered product capabilities, including system design, model integration, deployment, and monitoring.

• Strong proficiency in TypeScript and Node.js, including building and maintaining backend services and APIs in production environments.

• Demonstrated ability to design distributed systems that scale reliably, including clear approaches to service reliability, failure recovery, and performance optimization.

• Proven experience designing shared platform infrastructure, internal services, or engineering frameworks used by multiple product teams.

• Experience operating cloud based services in AWS, including deployment, monitoring, logging, and incident response for production systems.

Nice-to-haves:

• Familiarity with analytical data platforms or lakehouse architectures using technologies such as Iceberg, DuckDB, Trino, Spark, or similar query engines.

• Background in implementing observability for production systems using tools such as Datadog, OpenTelemetry, or comparable monitoring platforms.

• Exposure to Infrastructure as Code practices using tools such as Terraform.

• Interest in sports analytics, performance data, or complex domain driven products.

Who Thrives Here

You are a systems thinker who enjoys solving complex technical problems and building infrastructure that other engineers rely on. You take ownership of architectural decisions, operate comfortably in ambiguous problem spaces, and translate complex requirements into reliable systems used in production.

You influence technical direction through thoughtful design, clear communication, and hands-on engineering leadership across teams. You’re driven by results, energized by challenge, and aligned with our values: honesty, humility, hard work, commitment, innovation, and exceptionalism.

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.