Staff Software Engineer, AI/ML Infrastructure

Posted 1hrs ago

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Job Description

Staff Software Engineer building scalable AI/ML platforms and evaluation systems. Enabling Thumbtack’s home-services marketplace and GenAI-powered customer experiences.

Responsibilities:

  • Build and evolve core AI platform capabilities for GenAI-powered applications
  • Design, develop, and deploy scalable tools and infrastructure supporting applied scientists
  • Build traditional ML model training and serving systems, feature and data workflows, CI/CD, orchestration, deployment, and evaluation tooling
  • Work hands-on across backend services, execution infrastructure, and AI model/tool integrations
  • Evaluate next-generation AI infrastructure frameworks and tools
  • Drive projects to completion with focus on business impact and measurable outcomes
  • Solve complex technical problems and stay current with advances in AI
  • Partner with applied scientists, product engineering teams, senior engineers, and engineering leadership
  • Define multi-quarter roadmaps and make build/buy/adopt decisions
  • Ensure AI/ML platforms scale with Thumbtack's AI ambitions

Requirements:

  • 10+ years of professional software engineering experience
  • Track record of technical leadership at staff level or equivalent scope
  • 3+ years building AI/ML infrastructure in production
  • Hands-on experience with LLM-powered systems in production
  • Experience with LLM gateways or proxies, prompt and model lifecycle management, RAG or agentic architectures, and cost optimization for LLM workloads
  • Experience building or operating AI evaluation systems
  • Deep experience designing, building, and operating reliable distributed systems
  • Ownership of production services at meaningful scale
  • On-call responsibility and incident leadership
  • Demonstrated ability to use AI coding tools and validate, critique, and refine AI-generated output

Benefits:

  • Equal opportunity workplace
  • Reasonable accommodation for individuals with disabilities
  • Candidate safety protections during hiring