Remote Staff AI Engineer

Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. Oura is rebuilding how it builds software. Every engineer has agentic tooling, and our own pipeline already takes a well-formed ticket to a reviewed, tested commit stack. It runs interactively, headless, and on a cloud sandbox fleet, with its own evals and tracing. We are looking for engineers who use AI as a fundamental building block of both the products we ship and the way we build them. As a Staff Engineer on the AI Transformation team, you will architect and own the system that turns agentic development from something power users do into the way hundreds of engineers across iOS, Android, backend and AI services ship every day. That means spec and intake, planning, implementation, review, testing, CI/CD, release, observability and incident follow-up, each with agents doing real work and humans keeping judgment where it matters. We prioritize rapid prototyping, iterative loops and AI-native development, with the speed of a startup and the reach of a product used by millions of members. You can work remotely from anywhere in Europe, or hybrid from our offices in Helsinki, Oulu or Tampere. You will build the pipeline, measure it, and make it trustworthy enough that teams choose it. Set the technical direction for the agentic pipeline: Make our existing ticket-to-PR pipeline dependable infrastructure. Own its architecture, including agent orchestration, context management and tool calling, and improve its reliability, throughput, cost and developer experience across mobile, backend and web repositories. Run it unattended where the risk allows. Close the loop across the SDLC: Extend agentic workflows beyond code generation into spec quality checks, test generation, automated review, CI failure triage and repair, release verification, and post-deploy signals, so the system improves from what happens after merge. Run AI in production properly: Own the eval sets, LLM-as-a-judge grading, versioning, tracing and dashboards that tell us whether a workflow change made things better, including the hardest case: a change that passes CI and is still wrong. Design sandboxing, permissions, human checkpoints and guardrails proportional to risk, with privacy by design as the default. Health data, security and infrastructure changes get stronger controls; low-risk, easily verified work runs hands-off. Lead AI-native engineering by example: Set the bar for AI-augmented engineering across the organization. Show in your own work what a pipeline-first engineer ships, and raise the craft of the engineers around you. Embed with squads and their AI DRIs, find where the pipeline breaks on real work, fix the system rather than the single output, and turn what works into paved paths, skills, templates and docs other engineers can extend. Work with platform, developer productivity, security and privacy, AI infrastructure, mobile and backend squads, product and design, and engineering leadership to make trade-offs explicit and keep everyone moving on one system instead of five parallel ones.6+ years building and operating production systems that other engineers depend on, including developer tooling, internal platforms, or AI infrastructure at scale. You have built and operated agentic coding workflows or autonomous loops in a real engineering organization, beyond demos: background agents producing PRs, automated review, CI repair, test generation, or similar, with adoption and measured results. You reason about specification, review, testing, CI/CD, release and operations as one system, and you know where the bottleneck moves when code generation gets cheap. A technical leader: You set direction across teams you don't manage, write the designs others build on, and are trusted with the hard calls on architecture and risk. Strong on fundamentals: mobile domain or backend APIs, concurrency, distributed systems, testing, debugging and reliability. You treat AI output as a draft and can show how you verify it. Fluency in one domain of backend, iOS, or Android, with a stretch into others. You use the tools available to work across platforms and pick up new stacks quickly. You understand the responsibility of handling sensitive personal data and of giving agents access to real systems, and you design for both from the start. You communicate clearly with engineers, managers and non-engineering partners. Experience with coding agents at depth: skills, MCP servers, hooks, sub-agent orchestration, headless runs. Built evaluation harnesses or benchmarks for coding agents, or LLM-as-judge grading tied to build and test outcomes. Experience with sandboxed execution at scale: ephemeral dev environments, VM or container fleets, macOS build infrastructure. Shipped to mobile apps or other environments with slow, expensive feedback loops. Experience in digital health, wearables, MedTech, or other privacy-sensitive or regulated products. Contributions to open-source AI projects, or a portfolio of projects built on the latest agent capabilities. Mentored engineers or led an engineering community of practice. Competitive salary and equity packages~ Health, dental, vision insurance, and mental health resources~ 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off~ While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. We've been alerted to scammers posing as ŌURA recruiters, especially for remote roles. We will never ask for personal information like ID or payment for equipment upfront. Stay cautious and protect your personal details.