Software Engineer

You will ship features in UNION and in the applications teams run their processes on, working across the stack: TypeScript with React and Next.js in the browser, Python services running on Kubernetes, and the queries and data models underneathSome of it is AI-facing, like the natural language interfaces and agents people use to ask questions against governed dataYou will take one scoped piece at a time and carry it to production yourself, tests and post-release fixes included, working next to a senior engineer who owns the wider area. The people using it work here, so you will hear from them directly and see your work change how they work within a week or twoQualifications2+ years building production software, or equivalent depth from internships and substantial projectsWorking proficiency in a backend language, Python preferred, and in JavaScript or TypeScriptFamiliar with version control, code review, automated testing, and CI/CDExperience building or consuming HTTP APIs in something that ran in productionSome exposure to AI and LLM development, such as prompting, retrieval, tool calling, or agentsExperience building web frontends with a modern framework such as React or Next.jsWorking SQL, including writing and debugging joins and aggregations against a relational databaseWondering if you’re a good fit?We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talkYou want to understand the process you are building for, not just the ticket that describes itWhen you build an AI feature, you want a way to tell whether it is wrong before a user finds itYou want the people using your software to be people you know by name, and you take it personally when it gets in their wayYou want a piece of the product that is yours to own end to end, from the first conversation with a user to the thing running in productionYou work well at speed. Priorities here move with the business, and the problems worth solving tend to arrive on short noticeExposure to data platforms and analytical databases such as Spark, StarRocks, Snowflake, or BigQueryExperience with containers and deployment tooling such as Docker, Helm, or KubernetesExperience building AI-native features such as text-to-SQL interfaces, copilots, or insight generationExperience building internal tools that other people relied on day to day

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