Full Stack Product Engineer, Agent Native

Mactores is a trusted leader among businesses in providing modern data platform solutions. Since 2008, Mactores have been enabling businesses to accelerate their value through automation by providing End-to-End Data Solutions that are automated, agile, and secure. We collaborate with customers to strategize, navigate, and accelerate an ideal path forward with a digital transformation via assessments, migration, or modernization.

About Aedeon

Aedeon is a Code Intelligence Platform. We read enterprise codebases, source code, databases, stored procedures, dependencies,  and build a living architecture map that powers AI agents, migration plans, and modernization recommendations. Every engineer here writes code through agents, measures what they ship, and operates at a pace that most teams would call unreasonable. We call it normal. We're looking for a Senior Full Stack Developer who is deeply product-oriented, takes release ownership seriously, and brings a rigorous, test-first mindset to every feature they ship. This role requires someone who understands the full delivery lifecycle, from building features to defining test cases, running deployments, and validating production readiness, and who uses AI agents and automation tools to do it at a high standard of quality and efficiency. The ideal candidate thinks like a product owner, treating quality, timelines, and the end-user experience as personal responsibilities. They commit to release deadlines and raise risks early, define thorough and accurate test cases before every deployment, validate the full stack in staging before any release, and actively use AI agents and automation frameworks to produce qualitative test coverage and improve testing efficiency at scale. Aedeon is a technically demanding product with real enterprise customers and tight release timelines. We are not looking for someone who will build features and hand them off. We are looking for someone who ships features they would be proud to demo, loses sleep over a broken deployment and does something about it before anyone asks, writes test cases before the code rather than after the deadline, uses every tool available, including AI, to do their job better and faster, and treats the release date as a promise to the team and the customer.