AI Software Developer

Core responsibilities

1. Guide AI to produce production‑grade software

You will use tools like Cursor to generate code, but your value is in preventing bad software from reaching production.

You must deeply understand what good software looks like in the real world, including:

-CI/CD pipelines and deployment safety

-Logging, metrics, and observability

-Performance considerations and scalability

-Environment variable and secrets management

-Retry strategies and handling transient failures

-Defensive coding and failure‑mode thinking

1. Translate business goals into technical execution

-You will regularly receive high‑level business goals and outcomes, not detailed technical specs.

You are expected to:

-Understand business intent

-Translate outcomes into product and technical features

-Help shape solutions collaboratively (this is not a pure Product Manager role, b...