Software Engineer, Full Stack Developer, AI Engineer (Applied​/Software)

• You will ship features in UNION and in the applications teams run their processes on, working across the stack:
  Type Script with React and Next.js in the browser, Python services running on Kubernetes, and the queries and data models underneath
• Some of it is AI-facing, like the natural language interfaces and agents people use to ask questions against governed data
• You 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 two

• 2+ years building production software, or equivalent depth from internships and substantial projects
• Working proficiency in a backend language, Python preferred, and in JavaScript or Type Script
• Familiar with version control, code review, automated testing, and CI/CD
• Experience building or consuming HTTP APIs in something that ran in production
• Some exposure to AI and LLM development, such as prompting, retrieval, tool calling, or agents
• Experience building web frontends with a modern framework such as React or Next.js
• Working SQL, including writing and debugging joins and aggregations against a relational database

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 talk

• You want to understand the process you are building for, not just the ticket that describes it
• When you build an AI feature, you want a way to tell whether it is wrong before a user finds it
• You want the people using your software to be people you know by name, and you take it personally when it gets in their way
• You 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 production
• You work well orities here move with the business, and the problems worth solving tend to arrive on short notice
• Exposure to data platforms and analytical databases such as Spark, Star Rocks, Snowflake, or Big Query
• Experience with containers and deployment tooling such as Docker, Helm, or Kubernetes
• Experience building AI-native features such as text-to-SQL interfaces, copilots, or insight generation
• Experience building internal tools that other people relied on day to day