Senior AI Platform / DevTool Engineer
Role details
Job location
Tech stack
Job description
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., * 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.
Requirements
- 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., * 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.
Benefits & conditions
Pulled from the full job description
- Unlimited paid time off, * Remote-first: work from anywhere in the world, no relocation required.
- Flexible hours: we measure outcomes, not time at a desk.
- Unlimited PTO: take the time you need to rest, recharge, and do your best work.
- Learning & development budget: courses, books, conferences, certifications, whatever helps you grow.
- Performance-based compensation: your impact directly shapes your pay and career trajectory.
- A small, senior, collaborative team where your work is visible and your decisions matter.
- The chance to build products used by millions of people across 160+ countries.