AI Full Stack Developer

We are changing how we build data governance and data quality tools. Instead of long requirements cycles, we work in very short loops: talk through a need, build it, show it, and improve it the next day.

You will work directly with a manager to build new features and functionality, with an AI coding agent such as Claude Code /Github CoPilot or Codex as the primary coder. You stay in control: you direct the agent, judge what it produces, and own what ships.

What you will build

You will extend our self-service data quality product, which takes a business user from connecting a dataset to a data governance dashboard.

What you will do

• Build and ship new features across the full stack, using an AI coding agent as your main way of writing code.
• Integrate the application with Collibra and Soda through their APIs.
• Meet with a manager every day and show working, incremental progress.
• Turn short conversations into working software, without waiting for formal requirements.
• Review, test and correct what the agent produces, so that it is reliable and secure.
• Deploy your own work and keep it running.
• Keep the agent productive with good instructions, context and project structure.

• Mid-level full stack development experience, across front end, back end and databases.
• Real, day-to-day experience building with AI coding agents such as Claude Code or Codex or Github CoPilot
• A full understanding of how to code and deploy using AI, from first prompt to running in production.
• Enough engineering judgment to spot when the agent is wrong, and to fix it.
• A track record of working quickly and showing progress in small increments.
• Hands-on experience integrating applications with third-party platforms through REST APIs, ideally Collibra and Soda.
• Strong Python with FastAPI or similar, and React.
• Clear communication, and comfort working directly with a technical lead with little process around you.

Nice to have

• Experience with data quality, data governance or data-heavy applications.
• Working knowledge of SQL databases such as Snowflake, PostgreSQL, SQL Server and MySQL.
• Experience with Docker, Microsoft Entra ID sign-in (MSAL) and automated testing (pytest, Vitest).
• Experience building agentic or LLM-based features.

Our stack

Python and FastAPI on the back end, with SQLAlchemy and pandas. React and Vite on the front end, with Microsoft Entra ID sign-in. Soda and Collibra integrations, Snowflake and other SQL sources, and Docker.