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Blossom Health

Applied AI Software Engineer (All Levels)

New York City$150k–$220kfulltimemidAdded today

About this role

Blossom Health, a Series A mental health AI startup, seeks an Applied AI Software Engineer to build scalable systems powering their clinician and patient-facing platform. You'll own meaningful projects end-to-end, leverage cutting-edge AI to create novel healthcare experiences, and directly impact thousands of patients while working alongside a top-tier team in NYC.

What you'll do

  • Design and build scalable, reliable systems for core product workflows
  • Ship high-quality code balancing speed with technical rigor
  • Leverage AI/LLM technologies to create intuitive clinician and patient experiences
  • Proactively identify and resolve system reliability risks, owning uptime and observability
  • Conduct code reviews and mentor other engineers to raise engineering excellence
  • Own projects end-to-end with minimal oversight from day one

What they're looking for

  • TypeScript and/or Python
  • LLM-powered applications (preferred)
  • Full-stack system design and development
  • Production system architecture and reliability
  • Code quality and mentorship
  • Rapid technology adoption and learning
  • Healthcare/clinical domain knowledge (a plus)

Benefits

  • Competitive salary and equity
  • Best-in-class health, dental, and vision insurance
  • Unlimited PTO with outcome-focused culture
  • Team offsites and outings
  • High-growth startup environment with visibility across product, engineering, and operations
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Blossom Health

Blossom Health builds an AI-native mental healthcare platform designed to expand access to psychiatric care. The company is hiring software engineers and AI engineers to develop scalable systems and own meaningful projects across the full product lifecycle.

View all jobs at Blossom Health

Likely interview questions

  • Tell us about a production system you designed end-to-end—what was the most complex reliability challenge and how did you solve it?
  • How have you leveraged LLMs or AI in a shipped product, and what tradeoffs did you consider between speed and quality?
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