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Impiricus

Software Engineer (Full-stack)

New York, NY, Atlanta, GA, or Remote, USA (Remote)$110k–$135kfull-timemidAdded today

About this role

Impiricus seeks a full-stack software engineer to design and build scalable healthcare technology solutions using React, Next.js, and Python. You'll work on AI-powered features, APIs, and cloud-native deployments while collaborating across product and engineering teams in a remote or office setting.

What you'll do

  • Build responsive web applications with React and Next.js, creating reusable components and translating designs into production features
  • Design and develop scalable backend APIs and services in Python to support web applications and AI workflows
  • Integrate LLMs and AI-powered functionality, including prompt engineering and model integrations
  • Collaborate with Product and UX/UI teams to translate business requirements into technical solutions
  • Improve application performance, reliability, and scalability through testing, monitoring, and optimization
  • Contribute to CI/CD pipelines, cloud deployments, and observability; take ownership of features from development through production

What they're looking for

  • React and Next.js
  • JavaScript/TypeScript
  • Python backend development
  • RESTful APIs and API integration
  • SQL databases
  • LLMs and prompt engineering
  • AWS, Azure, or GCP
  • CI/CD and DevOps practices

Benefits

  • Focus on professional and personal growth
  • Team well-being initiatives
  • Flexible work location (New York, Atlanta, or remote)
  • Opportunity to work on healthcare technology at scale
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Impiricus

Impiricus builds an AI-powered healthcare engagement platform designed for life sciences companies. The company is hiring full-stack software engineers and QA automation engineers to develop scalable digital solutions with LLM workflows and ensure product quality through automated testing frameworks.

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Likely interview questions

  • Walk us through a full-stack project where you built both frontend and backend components; what challenges did you face?
  • Describe your experience integrating LLMs or AI models into a production application—how did you handle prompt engineering and model selection?
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