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AKASA

Healthcare RCM automation using AI

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a similar field.
  • At least 3 years of professional Python experience.
  • Experience designing and running offline and online large language model evaluations to measure model quality and performance.
  • Comfort working with relational databases, application programming interfaces, and extract, transform, load pipelines.
  • Strong communication and interpersonal skills, with meticulous attention to detail.

Responsibilities

  • Execute implementation tasks for new deployments, including requirements analysis, configuration, testing, rollout, and production health support.
  • Guide customers through technical onboarding, integration setup, troubleshooting, and data acquisition in collaboration with client engagement teams.
  • Build and own evaluation frameworks to continuously measure and improve large language model performance across customer deployments.
  • Contribute feedback and insights that shape product and platform improvements.
  • Work closely with research and development engineering teams to build robust, scalable client solutions.

Desired Qualifications

  • Familiarity with FastAPI, SQLAlchemy, and Postgres.
  • Proficiency with Docker, Kubernetes, and AWS.
  • Experience with continuous integration and continuous delivery using GitHub Actions.
  • Experience with healthcare data exchange formats and standards, including FHIR, HL7, and EDI.
  • Frontend experience with React.

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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