AI Software Engineer

Responsibilities

• Design and build scalable data architectures and automated workflows that power AI systems.
• Use AI-assisted coding for most development, focusing on architecture, review, and production quality.
• Read, audit, and improve complex (including AI-generated) codebases.
• Build reusable, well-documented internal libraries.
• Own features end-to-end, from local development to CI/CD and deployment.
• Produce clear, structured technical documentation.

• Strong experience as a Software Engineer with a high-ownership, generalist mindset.
• Native AI coding approach: able to debug, refine, and maintain AI-generated code in production.
• Strong fundamentals; able to build working systems using a language’s standard library when needed.
• Excellent problem-solving and logical thinking skills.
• Strong SQL skills and experience designing scalable data workflows.
• Comfortable working in the terminal (Linux, SSH, Docker, CI/CD).
• Strong debugging and testing skills across complex systems.
• Fast learner, able to pick up new tools and languages using documentation.
• Prefer libraries over frameworks and value clear written communication.
• Able to work autonomously and translate business needs into technical designs.

• Entry level

• Full-time

• Engineering and Information Technology

• IT Services and IT Consulting