AKASA

Full-stack Engineer

• Build features and products driven by LLMs across the whole stack
• Design agentic systems for revenue cycle workflows
• Build infrastructure that runs AI systems in production across hundreds of hospitals
• Work on complex problems spanning high-stakes clinical diagnosis and regulated medical billing
• Deploy evaluation frameworks and experimentation loops for reliable, production-grade systems
• Use data-driven and statistical approaches to balance medical coding guidelines, user feedback, and auditability
• Partner with product, clinical, and revenue cycle experts to advance AI in healthcare revenue cycle
• Design and build services, APIs, and tools underlying SaaS products
• Build AI-powered solutions across Clinical Documentation and Medical Coding products

Software Engineer, Applied AI