Staff Applied AI Engineer

Teamworks

2d

About The Position

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.

Requirements

• 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.

Responsibilities

• 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 This Job Offers

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