Senior AI Platform / DevTool Engineer

We're looking for a Senior AI Platform / DevTool Engineer to build the reusable AI tooling, automation, and shared services that help our internal and external teams ship faster and more consistently. This is a platform role, not a customer-facing prompt role. You'll build the RAG systems, AI-assisted workflows, and developer tools that turn scattered individual AI usage into a real engineering capability. You'll have the freedom to go from idea to working internal tool, with real ownership over adoption, reliability, and cost.

What You’ll Do

• Build internal AI tools and workflow automation that remove repeated manual work across Engineering, Product, QA, and Design.

• Implement RAG-based knowledge systems that make product specs, technical docs, and architecture decisions actually searchable and useful.

• Create reusable AI-assisted SDLC workflows, from product briefs and acceptance criteria to test scenarios and release documentation.

• Evaluate and integrate coding assistants, design-to-code tooling, and other AI-enabled developer tools where they create real leverage.

• Define secure, observable, and cost-aware patterns for AI tooling, and own usage, reliability, and cost monitoring across what you build.

What We’re Looking For

• 6+ years in software engineering, platform engineering, developer tooling, or related technical roles, plus 2+ years building AI-powered tools, LLM-based systems, or RAG solutions.

• Strong software engineering background with a track record of shipping reliable, maintainable tools used by other engineers.

• Experience designing APIs, SDKs, or reusable internal services that teams actually adopt.

• Solid grasp of RAG architectures, embeddings, vector databases, and retrieval workflows.

• Strong written communication and the ability to work autonomously in a remote, async environment.

• Comfort with ownership, transparency, and a results-driven mindset.

Nice to Have

• Experience with Figma-to-code, component generation, or design-system automation.

• Familiarity with coding assistants, AI agents, or agentic workflow orchestration (LangChain, LlamaIndex, Vercel AI SDK, or similar).

• Experience integrating AI tooling into GitHub, Jira, Slack, Confluence, Linear, or CI/CD pipelines.

• Background supporting external engineering teams or vendor delivery models.