A

AKASA

Healthcare RCM automation using AI

Senior Software Engineer - Backend

Backend EngineeringConfirmed 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.
  • At least 5 years of professional experience in software development or machine learning.
  • Professional software engineering experience in Python.
  • A proven track record with Software as a Service (SaaS) products.
  • Strong communication and interpersonal skills, with meticulous attention to detail.
  • Experience building consumer applications on top of machine learning pipelines.
  • Familiarity with FastAPI, SQLAlchemy, and PostgreSQL.
  • Proficiency in Docker, Kubernetes, and Amazon Web Services (AWS).
  • Continuous integration and continuous delivery (CI/CD) experience with GitHub Actions.
  • A firm grasp of system design principles.

Responsibilities

  • Build and deliver new experiences at large healthcare organizations.
  • Create and maintain backend services, and build on top of machine learning to solve customer problems.
  • Design, build, and maintain shared application programming interfaces (APIs), tools, services, and applications that form the foundation of the technology ecosystem.
  • Bring creative solutions, share knowledge with the team, and work together to shape platform architecture.
  • Lead and participate in design discussions, planning sessions, and code reviews.
  • Partner closely with product, design, and machine learning teams.
  • Mentor junior engineers on the team.

Desired Qualifications

  • Experience with healthcare data exchange formats and standards, including Fast Healthcare Interoperability Resources (FHIR), Health Level Seven (HL7), and Electronic Data Interchange (EDI).

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

Recently Posted Jobs

Explore more opportunities at AKASA

See more jobs