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3Y Health

Forward Deployed Engineer

New York Office$250k–$300kfulltimemidAdded 1 month ago

About this role

3Y Health seeks a Forward Deployed Engineer to build scalable backend infrastructure and data pipelines for AI-driven healthcare software. You'll design production systems that integrate LLM capabilities and support intelligent agent workflows, working closely with AI engineers and product teams in a fast-paced startup environment.

What you'll do

  • Design and architect reliable, scalable backend services and data pipelines for AI agents and real-time workflows
  • Collaborate with AI engineers and product designers to integrate LLM capabilities into production systems
  • Build clean APIs and infrastructure that support complex operational logic in healthcare
  • Work on end-to-end system design from problem framing through production QA
  • Optimize database design, data modeling, and system performance
  • Contribute to long-term AI roadmap and scaling strategy across the company

What they're looking for

  • Backend engineering (5+ years production experience)
  • Modern backend frameworks and languages (Java, Python, TypeScript/Node.js)
  • Scalable API and distributed systems architecture
  • Database design and optimization (PostgreSQL, Redis)
  • LLM workflows and agentic design patterns
  • Cross-functional collaboration
  • Healthcare data and HIPAA compliance (preferred)
  • Startup environment adaptability

Benefits

  • Competitive salary: $250,000 - $300,000
  • Stock options included in total compensation
  • Mission-driven work in healthcare transformation
  • Full-time in-person team environment in NYC office
  • Opportunity to shape foundational AI systems
  • Work with top-tier investor backing ($200M+)
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3Y Health

3Y Health builds AI agents and intelligent systems to automate healthcare administration workflows. The company is hiring Forward Deployed Engineers to design and develop agentic backends, data pipelines, and production infrastructure that power their AI-driven healthcare software.

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Likely interview questions

  • Walk us through your experience designing and building scalable APIs for a data-heavy or complex system. What were the key architectural decisions, and how did you handle performance optimization?
  • Describe your experience with agentic systems, LLM integrations, or function calling APIs. If limited, how would you approach learning to design backend systems that support AI workflows?
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