Teamworks

Staff Applied AI Engineer

Teamworks

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $216,000 per year

Job Level

About the role

  • 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.
  • Evaluate and select 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.
  • Mentor engineers on backend architecture, distributed systems, and GenAI system design.

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.
Benefits
  • Offers Equity
  • Offers Bonus
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
TypeScriptNode.jsAI systems designmachine learningbackend servicesAPIsdistributed systemscloud servicesAWSmonitoring
Soft Skills
leadershipmentoringcross team collaborationsystem reliabilityperformance optimization