Applied AI Engineer, Healthcare Revenue Cycle

AKASA; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Flexible PTO

Health, dental, and vision coverage

Health Savings Account (HSA)

Parental leave policy

Life insurance

Home office stipend

Cell phone/internet reimbursement

Company-paid holidays

401(K) plan

Job summary

AKASA is hiring an Applied AI Engineer to build AI-powered solutions across Clinical Documentation and Medical Coding. You will collaborate with product, design, and ML teams to design services, APIs, and tools that power our SaaS products for healthcare systems.

You will work on AI-native products that correct clinical errors for hundreds of thousands of patients and deliver measurable value for customers, improving physician documentation quality and enabling accurate medical coding for

Qualifications

• Bachelor's degree in Computer Science or related field.
• 3+ years in a technical role with a 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 a startup environment working on challenging problems.
• Healthcare technology experience (EDI, HL7, FHIR) is a plus.

Responsibilities

• 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.

Skills

Python

AI/ML fundamentals

Backend systems

Data analysis

HL7/FHIR familiarity

Education

Bachelor of Science in Computer Science or related field

Job description

AKASA is hiring an Applied AI Engineer to build AI-powered solutions across Clinical Documentation and Medical Coding. You will collaborate with product, design, and ML teams to design services, APIs, and tools that power our SaaS products for healthcare systems.

You will work on AI-native products that correct clinical errors for hundreds of thousands of patients and deliver measurable value for customers, improving physician documentation quality and enabling accurate medical coding for