Software Engineer II - AI Tooling Platform

Redfin Redfin · Seattle · Seattle, WA

Software Engineer II on the Platform Engineering team responsible for building and scaling the "plumbing" for AI adoption at Redfin. This includes an internal AI gateway, a plugin marketplace, and core AI skills. The role focuses on operationalizing AI tooling, ensuring security, cost-effectiveness, and integration into existing workflows, while also guiding engineering teams on AI tool adoption.

What you'd actually do

  1. Own and evolve the core systems that Redfin engineers use daily, including our Spring-based microservices framework, service scaffolding, and code delivery pipelines.
  2. Build and scale the "plumbing" for AI adoption, including an internal gateway to manage various providers and a plugin marketplace for custom workflows.
  3. Lead the technical implementation of cost governance, security guardrails, and usage monitoring for all AI tools integrated into the Redfin ecosystem.
  4. Identify and implement ways to bake AI-driven tools into existing developer workflows, automating repetitive tasks and accelerating the path to production.
  5. Partner with engineering teams to help them onboard and use AI tools safely.

Skills

Required

  • Java or similar strongly-typed language
  • Spring/Spring Boot experience
  • integrating AI tools or APIs
  • managing API calls
  • understanding rate limits
  • basic security considerations of using third-party AI services
  • building frameworks, CLI tools, or automated workflows
  • managing the "care and feeding" of technical platforms
  • reliability
  • cost optimization
  • performance
  • long-term health of tools
  • solving complex problems in existing codebases
  • building new features
  • building internal developer portals, service catalogs, or API management layers
  • treating a platform like a product
  • documentation
  • usability
  • helping others adopt new tools
  • ensuring third-party tools and data flows adhere to corporate standards for privacy

What the JD emphasized

  • strong systems background
  • practical AI tooling knowledge
  • systems & tooling background
  • operational excellence
  • reliability mindset
  • marketplace & gateway design
  • internal product mindset
  • security & compliance

Other signals

  • building internal AI gateway
  • plugin marketplace for custom workflows
  • operationalize AI tooling
  • integrate AI-driven tools into existing developer workflows
  • partner with engineering teams to help them onboard and use AI tools safely