Bachelor's or Master's degree in Computer Science, Engineering, or a related field
4+ years of professional software engineering experience, ideally in a high-growth or startup environment
Strong fullstack skills in Python (backend) and TypeScript/React (frontend)
Hands-on experience integrating LLM APIs or building AI-powered features in production
Proven ability to drive projects from ideation to production deployment
Strong debugging and problem-solving skills
Excellent communication skills for collaboration with technical and non-technical stakeholders
Responsibilities
Leverage and enhance AI/LLM technologies for product development
Design and influence fullstack architecture for scalable healthcare solutions
Lead technical planning for new features balancing usability and business impact
Establish best practices for code quality, testing, deployment, and observability
Mentor engineers to elevate design patterns and coding standards
Collaborate with cross-functional teams to deliver intuitive clinical solutions
Be part of a dynamic team focused on rapid deployment and high ambition
Benefits
Opportunity to work on cutting-edge AI technology in healthcare
Collaborative and fast-paced work environment
Focus on both clinician and patient experiences
Mentorship opportunities to grow engineering skills
Involvement in shaping scalable AI-powered solutions
Full Job Description
About the Role
At Commure, our Air AI team is building the intelligence layer that lives inside the clinical workflow, that listens, documents, reasons, and acts so clinicians don't have to. You'll work across documentation that transcribes patient visits and structures them into clinical notes in real-time, a conversational clinical assistant grounded in live patient context and medical literature, and an extensible AI Skills Library of reusable agents and workflows that automates clinical tasks across the platform. If you want to build AI that clinicians trust with their most critical work, this is that team.
What You'll Do
Leverage and build on top of AI/LLM technologies to accelerate product development and deliver intelligent, automated experiences to clinicians and patients
Design and influence decisions that shape our fullstack architecture for scalable, AI-powered healthcare solutions
Lead or contribute to technical planning for new features, balancing feasibility, clinical usability, and business impact
Establish best practices for code quality, testing, deployment, and observability
Mentor engineers across the team, raising the bar on design patterns, code standards, and technical thinking
Collaborate with product managers, designers, and clinical experts to ship intuitive solutions that work in real clinical environments
Be part of a fast-moving team that celebrates large ambition, ships daily, and makes decisions quickly
What You Have
Bachelor's or Master's degree in Computer Science, Engineering, or a related field, required
4+ years of professional software engineering experience, ideally in a high-growth or startup environment
Strong fullstack skills - Python on the backend (required), TypeScript/React on the frontend, with working knowledge of containers and cloud (Docker, Kubernetes)
Hands-on experience integrating LLM APIs or building AI-powered features in production
Track record of driving work from early ideation to successful production deployment
Strong debugging and problem-solving skills with a history of demonstrated resourcefulness
Strong communication skills - comfortable working with both engineers and non-technical stakeholders including clinical teams
Experience in fast-moving environments where shipping quickly is the norm
