AI Full Stack Developer

Anblicks

Richardson, TX • 52m ago • Hybrid

Mid

Hybrid

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Quick Facts

  • Role: AI Full Stack Developer

  • Location: Richardson, TX

Description

You’ll build and ship new features for an AI-assisted data governance and data quality platform using an AI coding agent as the primary way of writing code. Work in short daily loops—talk through a need, build, show progress, and improve immediately—while you direct the agent and ensure what ships is reliable and secure. Extend the self-service product from dataset connection to a governance dashboard, including integrations with Collibra and Soda.

Responsibilities

  • Build and ship full-stack features using an AI coding agent (you direct, review, test, and correct output)

  • Integrate the application with Collibra and Soda through their REST APIs

  • Meet daily with a manager and demonstrate incremental working progress

  • Turn short conversations into working software quickly

  • Review, test, and correct agent-produced code for reliability and security

  • Deploy and maintain your work in production

  • Provide strong instructions and context to keep the agent productive

Requirements

  • Mid-level full stack development experience across front end, back end, and databases

  • Day-to-day experience building with AI coding agents such as Claude Code, Codex, or GitHub Copilot

  • Full understanding of coding and deploying with AI from first prompt to running in production

  • Ability to use engineering judgment to spot when the agent is wrong and fix it

  • Track record of working quickly and delivering small increments

  • Hands-on experience integrating with third-party platforms via 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 minimal process

Benefits

  • Build visible progress every day, with new features delivered in days rather than months

  • Ship working software directly to users without waiting for long requirements cycles

  • Own what gets deployed by directing and validating AI-generated code

How to stand out

Share an example of something you built with an AI coding agent and explain how you directed it, identified what it got wrong, and deployed it.

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