About the role
Software Engineer, Korrus Engineering (AI-First) - Contract Korrus · Reports to VP, Engineering · Remote (US, Pacific overlap preferred), occasional travel for in-person working sessions · Full-time · Early career welcome About Korrus Korrus is a lighting technology company built on more than 500 patents and co-founded by the Nobel laureate who invented the blue LED. Our consumer brand, OIO, delivers biologically aligned light, the right spectrum at the right time of day, to support how people wake, focus, and rest. Behind the products is a real, complex company: engineering, manufacturing, a global supply chain, and the operations that tie it all together. All of it runs on software, and we are building that software in an AI-first way. We are looking for an unusually capable early-career engineer to help us do it.
The role This is a broad, high-ownership contract software engineering role. You will build a wide range of software across Korrus, inside AI-assisted and agentic workflows that take an idea to working software far faster than a traditional process would. We are not looking for someone to pick up tickets and pass work downstream. We are looking for someone who co-creates with our team and with AI, in real time, and is genuinely excited to deepen that practice. You do not need years of experience. You need to be sharp, self-directed, and eager to own real problems from day one. How we see your first few weeks We expect you to start with a learning phase: time to understand our systems, meet the people you will build for, and find the first problem worth solving. We would rather you scope work properly than rush to a fixed timeline. You will ship something early and grow quickly into owning problems end to end.
What you'll do · Build software across Korrus, from internal tools to product surfaces, and take it from idea to working application. · Co-work directly with our engineering team inside AI-assisted and agentic AI workflows. · Take problems from a vague, one-paragraph description to something that works, largely on your own. · Partner with the people who will use what you build, understand what they actually need, and make sure it gets used. · Work across the stack and close to the data: backends, APIs, SQL, and a clean interface when one is needed. · Help shape how we build as our AI-first engineering practice matures.