Commure
Commure
Commure ir veselības aprūpes tehnoloģiju uzņēmums, kas izstrādā mākslīgā intelekta darbinātu programmatūru un integrētu infrastruktūru veselības aprūpes sistēmām. Uzņēmuma produkti ietver apkārtējās vides kontekstu izprotošus MI asistentus, ieņēmumu cikla pārvaldības rīkus, pacientu iesaistes platformas, kā arī aktīvu un drošības uzraudzības risinājumus, kas savienojas ar elektronisko veselības karšu sistēmām. Sadarbojoties ar veselības aprūpes sistēmām šo rīku izveidē un ieviešanā, Commure atbalsta klīniskās dokumentācijas, kodēšanas, norēķinu un darbības procesu automatizāciju. Uzņēmuma mērķis ir samazināt aprūpes izmaksas, mazināt klīniskā personāla izdegšanu un uzlabot pacientu un organizāciju rezultātus.

Applied AI Software Engineer (Brazil Remote)

Backend engineer developing LLM-powered systems for claims, remittance, denials, and document extraction. Build Commure’s AI-native healthcare revenue cycle platform for providers and administrators.

Apraksts

  • Help shape the revenue cycle management platform’s technical direction by improving its architecture, tools, and technologies
  • Develop end-to-end products that advance revenue cycle management for providers and administrators
  • Manage integration workflows from design and development through deployment and post-launch monitoring
  • Work with product, engineering, and healthcare teams to define integration requirements, technical approaches, and priorities
  • Strengthen reliability and observability through effective monitoring, logging, and alerting practices
  • Improve web application performance and scalability
  • Coordinate with infrastructure and backend teams to maintain high availability and resilient core functions
  • Mentor and support fellow engineers
  • Review code, maintain engineering standards, and advance architectural improvements
  • Deliver production AI capabilities for claims submission, remittance posting, denials and appeals, and document extraction
  • Manage the AI feature lifecycle from prompt design and evaluation through production infrastructure
  • Work with customers and internal operations teams to build auditable, AI-assisted workflows

Prasības

  • Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent extensive experience
  • At least 2 years of professional software development experience
  • Proficiency with frontend technologies such as JavaScript, HTML, and CSS
  • Proficiency with backend languages such as Python, Go, or C++
  • Experience with Git, GCP or AWS, Docker, Kubernetes, relational and non-relational databases, and monitoring or alerting tools
  • Demonstrated ability to design and implement end-to-end solutions and make effective architectural decisions
  • Strong communication and collaboration skills for working in a fast-paced, changing environment
  • Follow organizational information security policies and report confirmed or potential security events or risks
  • Acknowledge information security requirements upon joining and annually thereafter

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