Senior Software Engineer, Air AI

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