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Salary: USD 180,000 - 250,000 / annual
AKASA is a leading provider of generative AI solutions for healthcare revenue cycle management. The company helps health systems streamline clinical documentation, medical coding, and financial operations using AI-native products. With over $205M in funding from top-tier investors and a customer base representing $120B+ in net patient revenue (including Cleveland Clinic, Duke, Stanford, Johns Hopkins), AKASA is experiencing rapid growth—revenue bookings for their new AI product suite grew 20x since launch in 2024.
As an Applied AI Engineer, you will build AI-powered solutions across AKASA's Clinical Documentation and Medical Coding suite. You'll work closely with product, design, and machine learning teams to design and build the services, APIs, and tools that power their SaaS products. Your work will directly impact hundreds of thousands of patients by improving physician documentation quality, helping clinicians identify missing diagnoses, converting documentation to medical codes, and ensuring financial integrity for health systems.
Key responsibilities:
- Build features and products driven by large language models, touching the full stack from designing agentic systems for revenue cycle workflows to production infrastructure across hundreds of hospitals
- Work alongside subject matter experts on complex problems spanning clinical diagnoses and regulated medical billing
- Deploy evaluation frameworks and experimentation loops to deliver reliable, production-grade systems using data-driven and statistical approaches
- Partner directly with product, clinical, and revenue cycle experts to advance AI capabilities in healthcare revenue cycle management
The role offers flexibility in a fast-growing startup environment with significant technical challenges and measurable business impact. You'll help deliver hundreds of millions of dollars in measurable value for customers while improving patient care quality.
REQUIREMENTS:
- Bachelor of Science in Computer Science, Software Engineering, or related field
- 3+ years in a technical role with strong foundation in AI and data analysis or backend systems
- 1+ years shipping production AI systems to end users
- Experience designing offline/online evaluations and landing agentic systems
- Proficiency in Python
- Thrives in startup environment working on challenging problems
- Healthcare technology experience (EDI, HL7, FHIR) is a plus
