Software Engineer, Applied AI (Brazil)

Commure · Remote · Sao Paulo, Brazil ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$40k – $50k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (Brazil)
  • Python, Go, or C++
  • LLM & AI Agents
  • Healthcare Tech
  • Mid-level role

Join the RCM AI team at Commure to transform manual financial workflows in healthcare into intelligent, automated systems. You will build and deploy LLM-powered agents that handle claims, denials, and document extraction with strict compliance guardrails.

This position requires end-to-end ownership of AI features, from prompt engineering and evaluation to production infrastructure. You will collaborate directly with clinicians and operations teams to reduce administrative burden and improve patient care delivery.

What you'll do

  • Design and implement improvements to RCM platform architecture and tools
  • Build end-to-end products to automate revenue cycle management tasks
  • Own integration workflows from design through deployment and monitoring
  • Collaborate with product and healthcare teams to define technical approaches
  • Enhance system reliability via better monitoring, logging, and alerting
  • Optimize web application performance and scalability for user experience
  • Mentor engineers and conduct code reviews to uphold best practices

What you'll need

  • Bachelor’s or Master’s in Computer Science or equivalent experience
  • At least 2 years of professional software development experience
  • Proficiency in frontend technologies: JavaScript, HTML, and CSS
  • Strong backend skills in Python, Go, or C++
  • Experience with Git, GCP or AWS, Docker, and Kubernetes
  • Knowledge of relational and non-relational databases
  • Proven ability to make successful architectural decisions

Stack

  • Python
  • Go
  • C++
  • JavaScript
  • HTML
  • CSS
  • Git
  • GCP
  • AWS
  • Docker
  • Kubernetes

How you'll work

  • Remote work available for candidates in Brazil
  • Fast-paced environment with daily deployments
  • Direct collaboration with clinicians and internal teams