As an Applied AI Engineer, you will be building AI-powered solutions across our Clinical Documentation and Medical Coding suite. You will work closely with the product, design, and machine learning teams to design and build the services, APIs, and tools that undergird our SaaS products.

Together with the broader team, you will work on AI-native products that correct clinical errors for hundreds of thousands of patients, and deliver hundreds of millions of dollars in measurable value for our customers.

These products improve the quality of physician documentation, help clinicians identify missing diagnoses, convert documentation to medical codes and ensure financial integrity for health systems. The interfaces you develop help thousands of clinicians and hospital staff tackle some of the most challenging and high-impact patient encounters in U.S. healthcare.

Build features and products driven by LLMs. You will touch the whole stack, from designing agentic systems for revenue cycle workflows to the infrastructure that runs them in production across hundreds of hospitals.

Work alongside strong subject matter experts on complex, challenging problems that span from high-stakes clinical diagnoses to regulated medical billing with no easy answers.

Deploy the evaluation frameworks and experimentation loops that deliver reliable, production-grade systems. You'll use data-driven and statistical approaches to balance across medical coding guidelines, user feedback, and auditability.

Partner directly with product, clinical, and revenue cycle experts to push the frontier of what AI can do inside the healthcare revenue cycle.

Software Engineer, Applied AI

Responsibilities

Qualification

Required

Benefits

Company

Akasa

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