AI Software Engineer (Remote)

• 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 bachelors degree in computer science or a relevant field or equivalent experience in software engineering.
• Participation in M3s 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.

Additional Information :

Benefits:

A career opportunity with M3USA offers competitive wages and benefits such as:

• 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

*M3 reserves the right to change this job description to meet the business needs of the organization

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Remote Work :

Yes

Employment Type :

Full-time