[Hiring] AI Software Engineer @M3USA

Role Description

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.

Qualifications

• Associate or bachelor's degree in computer science or a relevant field, or equivalent experience in software engineering.
• Participation in M3's AI training and upskilling. All engineers are expected to attend relevant sessions and engage with these initiatives, and consistent participation is a performance expectation.
• 1 to 3 years of software development experience. Internships, co-ops, academic project work, open-source contributions, and substantial personal projects count toward this.
• TypeScript and React, and Python. Working knowledge is sufficient; depth is expected to develop in the role.
• SQL and relational databases, and version control with Git.
• Familiarity with at least one major cloud platform. MDLinx runs on AWS, GCP, and Vercel, and you will not be expected to know all three coming in.
• Hands-on use of AI coding assistants, with the ability to describe where they helped and where their output needed correction.
• Interest in the media, content production, and pharmaceutical domain, with a commitment to learning it.
• Quick to learn whatever technologies MDLinx uses; with AI assistance, learning speed matters more than prior familiarity with any one stack.
• Clear communication with both technical and non-technical people, and willingness to ask questions early.

Benefits

• Health and Dental
• Life, Accident and Disability Insurance
• Prescription Plan
• Flexible Spending Account
• 401k Plan and Match
• Paid Holidays and Vacation
• Sick Days and Personal Day