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Brellium

Software Engineer - AI

New York City (Remote)$140k–$200kfulltimemidAdded 1 month ago

About this role

Brellium is seeking a Backend or Fullstack Software Engineer to build and scale AI-powered systems for their medical review platform that helps healthcare providers improve patient care quality. You'll integrate modern LLMs into production applications, design end-to-end AI systems, and work in a fast-paced startup environment serving 250,000+ providers across the U.S.

What you'll do

  • Integrate large language models and modern AI frameworks into real-world healthcare applications
  • Design and build complete AI-centric systems from data pipelines to user interfaces
  • Create evaluation pipelines and metrics to ensure AI agents and workflows are robust and continuously improving
  • Collaborate with Product teams to deliver high-quality features quickly
  • Own end-to-end data workflows and AWS deployments
  • Contribute ideas in a collaborative environment focused on improving healthcare delivery

What they're looking for

  • Python and TypeScript proficiency
  • AI application development and AI-centric system architecture
  • Modern AI frameworks (LangChain, LlamaIndex) and LLM APIs
  • SQL and relational database expertise
  • AWS deployment experience
  • Problem-solving and bias toward action
  • Cross-team communication and collaboration
  • React/Next.js (bonus)

Benefits

  • Competitive salary: $140,000 - $200,000
  • Equity compensation with meaningful ownership
  • Comprehensive health, dental, and vision coverage (up to 100% premium coverage)
  • 401(k) retirement plan, HSA/FSA, unlimited PTO, and 11 paid holidays
  • Meal allowance via DoorDash and stocked kitchen for NYC employees
  • Hybrid work schedule and professional development support
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Brellium

Brellium builds AI-powered healthcare platforms that help providers improve patient care quality and safety, leveraging modern LLMs for medical review and decision support. The company is hiring backend and fullstack engineers to scale these systems, as well as forward-deployed engineers to deliver custom solutions and integrations for enterprise healthcare customers.

View all jobs at Brellium

Likely interview questions

  • Can you walk us through a project where you deployed or integrated an LLM or AI model into a production application? What challenges did you face?
  • How have you approached building evaluation pipelines and metrics for AI systems? What makes it difficult to measure AI agent reliability?
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