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Raintree

AI-centric EHR and rehab practice management

Senior Backend Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeVilnius, Vilnius City Municipality, Lithuania

About the Job

Requirements

  • At least 4 years of software engineering experience.
  • Strong analytical and quantitative problem-solving skills and an aptitude for tackling complex technical challenges.
  • Ability to quickly learn and adapt to new technologies and concepts.
  • A high degree of initiative and a strong sense of ownership over project outcomes.

Responsibilities

  • Optimize the voice AI platform for lower latency and improved scalability using open-source technologies.
  • Develop interfaces and parallel processing for connecting system components, including speech-to-text, voice activity detection, large language models, text-to-speech, and external application programming interfaces.
  • Implement data synchronization mechanisms for voice and text streams in parallel workflows.
  • Create abstraction layers for scalable large language model usage, balancing cost, performance, and accuracy.
  • Enhance internal tools for system observability, monitoring, and data inspection at scale.
  • Build integrations that connect clinical workflows with the company's systems.

Desired Qualifications

  • Experience with video or audio streaming, or low-latency image-processing software development.
  • Experience maintaining and scaling WebSockets.
  • Personal projects demonstrating mathematical skills.
  • Contributions to open-source software.

About the Company

Raintree

AI-centric EHR and rehab practice management

Raintree provides an AI-centric EHR and practice management platform designed for enterprise rehab therapy networks. Its integrated suite includes ONC-certified EHR, AI scribe, patient engagement tools, clinical documentation, revenue cycle management, and analytics to document care, automate notes, communicate with patients, handle billing, and generate insights across many clinics. The platform’s emphasis on rehab therapy at scale, with AI-driven documentation and analytics in one system, sets it apart from broader EHR vendors. The goal is to become the leading AI-centric EHR solution for rehab therapy, improving workflows and patient outcomes across large therapy networks.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Busan, South Korea
Founded
2013

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