Senior Software Engineer, Air AI
Build AI/LLM-powered clinical documentation, assistants, and automation for healthcare workflows. Requires 4+ years experience, strong Python + TS/React skills, and production LLM experience.
About the job
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
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
Skills
Python, TypeScript, React, Docker, Kubernetes, LLM APIs, Ai/Llm Technologies, Fullstack Development, Cloud Infrastructure
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