AI Software Engineer for Healthcare AI Platform

M3USA; Pennsylvania; Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Health and Dental

Life, Accident and Disability

Prescription Plan

Flexible Spending Account

401k Plan and Match

Paid Holidays and Vacation

Sick Days and Personal Day

Job summary

MDLinx, part of the M3 family, is seeking an AI Software Engineer in the United States to help advance omnichannel physician engagement. You will collaborate with cross-functional engineers to build scalable features and ensure robust, compliant software.

Ideal candidates have 1–3 years of software development experience with TypeScript, React, and Python, plus cloud familiarity. The role emphasizes learning, AI-assisted workflows, and clear technical communication.

Qualifications

• Associate or bachelor's degree in computer science or a related field or equivalent experience.
• 1–3 years of software development experience, including internships or projects.
• Familiarity with TypeScript, React, and Python with growing depth in role.

Responsibilities

• Implement features to improve MDLinx and drive impact for users.
• Contribute to software system design and review others' code.
• Apply best practices: automated tests, clean code, peer review, and docs.
• Troubleshoot bugs in pre-prod and production with team support.
• Read AI-generated plans and code critically; identify issues early.

Skills

TypeScript

React

Python

SQL

Git

Cloud platforms

AI coding assistants

Communication

Education

Associate or bachelor's degree in computer science or relevant field

Tools

AWS

GCP

Vercel

Job description

MDLinx, part of the M3 family, is seeking an AI Software Engineer in the United States to help advance omnichannel physician engagement. You will collaborate with cross-functional engineers to build scalable features and ensure robust, compliant software.

Ideal candidates have 1–3 years of software development experience with TypeScript, React, and Python, plus cloud familiarity. The role emphasizes learning, AI-assisted workflows, and clear technical communication.