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.

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).

Senior Applied AI Engineer

Key skills