Implement features that improve MDLinx and drive impact for its users, with the scope of independent ownership growing over time. Contribute to the design of software systems, and participate in the review of other engineers' code. Apply software engineering best practices, including automated testing, clean code, peer review, and documentation, to build maintainable and adaptable applications. Contribute to the performance, security, and compliance of MDLinx. Contribute to the repository context, conventions, automated tests, quality gates, and executable plans that make agentic coding reliable. Read AI-generated plans and code critically and raise what looks wrong. Developing this judgment is a primary objective of the first year in the role. Find repetitive or time-intensive engineering work that can move to AI-assisted or automated workflows, keeping human review where it protects quality, accuracy, and compliance. Troubleshoot bugs in pre-production and production, with support from senior engineers on the team. Work with people inside and outside engineering to meet team and company objectives. Contribute to projects that benefit M3 USA as a whole, collaborating across business units beyond your own team when the company needs it.