Staff Engineer, AI Developer Experience (Remote, US)

Renew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home. They are seeking a Staff Engineer to lead the evolution of AI Developer Experience, enabling engineers to leverage AI throughout the software development lifecycle and drive the evaluation and adoption of AI development tooling.

Responsibilities:

• Lead the evolution of our AI Developer Experience, enabling engineers to safely and effectively leverage AI throughout the software development lifecycle
• Drive the evaluation, adoption and governance of AI development tooling (code generation, in-editor assistance, agentic workflows), ensuring that adoption is practical, secure and measurable
• Measure and improve the speed of common developer actions across our TypeScript/Node and Python codebases. This includes build times, pre-push hooks, linting, type checking, conformance checks, and Nx task orchestration
• Own our devcontainer strategy, both local and cloud-based, to ensure a secure, consistent and reproducible development experience that scales across multiple concurrent projects
• Maintain and improve local testing frameworks and developer-facing test infrastructure
• Own and evolve shared internal libraries and configuration systems used across application teams, ensuring they are well-documented, versioned, and easy to adopt
• Contribute to related areas including CI/CD and delivery pipelines, SDLC definition, language and library upgrade cycles (Node/Python, NPM, PyPI), developer onboarding and documentation, and observability

Requirements:

• 7+ years of software engineering experience, with meaningful time spent on developer tooling, platform engineering, or developer productivity
• Deep familiarity with TypeScript/Node and Python ecosystems — you know the package management landscape, common build tooling, and where things tend to break
• Experience with monorepo tooling (Nx or similar) and an intuition for how to make large codebases fast to work with
• Hands-on experience designing, configuring, and improving devcontainer-based development environments
• Practical experience evaluating and integrating AI development tools (GitHub Copilot, Claude, OpenAI, Cursor, Codex) including thinking carefully about standards and guardrails, not just rollout
• Strong listening, communication, and leadership skills — you seek out feedback from the engineers you serve and know when to lead and when to follow
• Experience with agentic development workflows, MCP (Model Context Protocol), tool orchestration, or AI workflow automation
• Experience relevant to AI security including designing secure execution environments, sandboxing, secrets management, or credential isolation for AI systems
• Experience with cloud-based or remote development environments