Senior Software Engineer, Air AI

Athelas; California (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

Athelas is seeking a Software Engineer to join our Air AI team, building intelligent solutions that streamline clinician workflows. You will work on designing and implementing AI-driven features that automate clinical tasks.

The ideal candidate has a strong foundation in fullstack development, particularly with Python and TypeScript. If you are ready to take on challenges in a fast-moving environment that focuses on healthcare transformation, we want to hear from you.

Qualifications

• Professional software engineering experience in a startup environment.
• Hands-on experience with LLM APIs or AI features in production.
• Strong skills in Python, TypeScript, and React.

Responsibilities

• Leverage AI technologies to enhance product development.
• Design scalable, AI-powered healthcare solutions.
• Mentor engineers on best practices and technical standards.

Skills

Fullstack development with Python

Experience with TypeScript/React

Debugging and problem-solving skills

Communication skills

Experience in fast-moving environments

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Job description

At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs.

Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission.

Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here.

The future of healthcare is being built right now. Come deliver this transformation.

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

• 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