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AKASA

Healthcare RCM automation using AI

Software Engineer - Applied AI

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A Bachelor of Science in Computer Science, Software Engineering, or a related field is required.
  • At least 3 years of experience in a technical role with a strong foundation in AI and data analysis or backend systems is required.
  • At least 1 year of experience shipping production AI systems to end users is required.
  • Experience designing offline and online evaluations and deploying agentic systems is required.
  • Proficiency in Python is required.
  • Ability to work in a startup environment on challenging problems is required.

Responsibilities

  • Build features and products driven by large language models, spanning the full stack from designing agentic systems for revenue cycle workflows to production infrastructure across hundreds of hospitals.
  • Work with subject matter experts on 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 to balance medical coding guidelines, user feedback, and auditability.
  • Partner with product, clinical, and revenue cycle experts to advance AI applications in the healthcare revenue cycle.

Desired Qualifications

  • Healthcare technology experience, including EDI, HL7, or FHIR, is a plus.

About the Company

AKASA

Healthcare RCM automation using AI

AKASA automates Revenue Cycle Management in healthcare using computer vision-based Robotic Process Automation, machine learning, and human-in-the-loop workflows. It analyzes clinical and administrative documents, extracts data, applies ML to classify or decide, and uses RPA to carry out tasks within existing healthcare IT systems, with humans reviewing uncertain outcomes to ensure accuracy. This end-to-end solution is tailored to healthcare and has demonstrated real-world impact, such as a $30 million gross yield increase for Methodist Health System. The goal is to help healthcare organizations improve revenue, increase efficiency, and enhance the patient experience by scaling automated RCM workflows with measurable financial results.

Company size
201-500
Company stage
Series C
Total funding
$205M
Headquarters
South San Francisco, CA
Founded
2018

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