Job description

Blossom Health exists to solve the mental health epidemic in America by partnering with psychiatrists to expand access to affordable, timely, clinically-effective mental healthcare. Our AI-native care platform is loved by hundreds of clinicians and thousands of patients. We’re a Series A company with $20M+ raised from Headline, Village Global, and the founders of General Catalyst, Flatiron Health, Sword Health, Grow Therapy, Fay, Elemy, Zip, Blank Street, Assured, Bridge, Birches Health, and Enzo Health. WHY YOU SHOULD WORK HERE: - 🚀 Hyper-growth environment: Get firsthand exposure to how a startup scales from 0→1→n, with visibility across product, engineering, and operations - 🤝 High trust and autonomy: You’ll own meaningful projects from day one and shape both technical decisions and product direction. We trust engineers to figure out the best path forward - without micromanagement. - 🧠 Talent-dense team: Work with a top-percentile team built on mutual respect and admiration, with shared goals, motivations, and vision for the future. - ⚡ Real impact: Your code will directly improve access to mental health care for thousands of patients and clinicians WHAT WE'RE LOOKING FOR: - Highly motivated, ambitious, and capable - looking to tackle a large, meaningful problem area - Ownership mindset - thinking for the long-term and placing the business and our customers first - High velocity and high excellence - have a real sense of urgency to move quickly and take pride in the quality of your work - An explorer - comfortable with ambiguity and autonomy, seeking to answer questions previously unasked, to leap into the unknown - An optimist - you believe in a tomorrow better than today - A builder - you take joy in bringing new creation to the world, in leveraging technology to make useful things - Humble - you use your gifts in the service of others and understand that success is an output, not an input WHAT YOU'LL DO: - Build and ship AI-native product experiences used directly by clinicians and patients - Design and develop LLM-powered systems and agents that automate and augment complex healthcare workflows - Own AI features end-to-end, from prototyping and experimentation through production deployment, evaluation, and iteration - Build robust evaluation, monitoring, and feedback systems to continuously improve AI quality, reliability, and performance - Work across models, prompts, tools, retrieval systems, and application infrastructure to solve real-world product problems - Move quickly from emerging AI capabilities to production-ready experiences that deliver measurable value - Collaborate closely with clinicians and engineers to understand complex healthcare workflows and determine where AI can have the greatest impact YOU'LL THRIVE HERE IF YOU: - Have a bachelor's degree or equivalent experience in Computer Science or a related field - Have 2+ years of professional software engineering experience outperforming in high-quality environments - Have experience building and shipping LLM-powered applications or AI products in production - Are fluent in Python and/or TypeScript - Have worked with modern LLM APIs, agentic systems, tool calling, retrieval, structured outputs, or similar applied AI patterns - Think rigorously about evals, reliability, latency, cost, and failure modes, not just whether a prototype works - Are comfortable moving across the stack and quickly experimenting with new models, frameworks, and techniques - Love autonomy, ambiguity, experimentation, and ownership - Are authorized to work in the U.S. and excited to be in-person in NYC 5 days a week BENEFITS: - Competitive salary, equity, growth opportunities - Best-in-class health, dental, and vision insurance - A focus on outcomes, not hours, with unlimited PTO - Team outings, offsites, and a sunny NYC office stocked with snacks

Requirements

Must-haves

Hyper-growth environment: Get firsthand exposure to how a startup scales from 0→1→n, with visibility across product, engineering, and operations
High trust and autonomy: You’ll own meaningful projects from day one and shape both technical decisions and product direction. We trust engineers to figure out the best path forward - without micromanagement.
Talent-dense team: Work with a top-percentile team built on mutual respect and admiration, with shared goals, motivations, and vision for the future.
Highly motivated, ambitious, and capable - looking to tackle a large, meaningful problem area
Ownership mindset - thinking for the long-term and placing the business and our customers first
High velocity and high excellence - have a real sense of urgency to move quickly and take pride in the quality of your work
An explorer - comfortable with ambiguity and autonomy, seeking to answer questions previously unasked, to leap into the unknown
An optimist - you believe in a tomorrow better than today
A builder - you take joy in bringing new creation to the world, in leveraging technology to make useful things
Humble - you use your gifts in the service of others and understand that success is an output, not an input
Build and ship AI-native product experiences used directly by clinicians and patients
Design and develop LLM-powered systems and agents that automate and augment complex healthcare workflows
Own AI features end-to-end, from prototyping and experimentation through production deployment, evaluation, and iteration
Build robust evaluation, monitoring, and feedback systems to continuously improve AI quality, reliability, and performance
Work across models, prompts, tools, retrieval systems, and application infrastructure to solve real-world product problems
Move quickly from emerging AI capabilities to production-ready experiences that deliver measurable value
Collaborate closely with clinicians and engineers to understand complex healthcare workflows and determine where AI can have the greatest impact
Have a bachelor's degree or equivalent experience in Computer Science or a related field
Have 2+ years of professional software engineering experience outperforming in high-quality environments
Have experience building and shipping LLM-powered applications or AI products in production
Are fluent in Python and/or TypeScript
Have worked with modern LLM APIs, agentic systems, tool calling, retrieval, structured outputs, or similar applied AI patterns
Think rigorously about evals, reliability, latency, cost, and failure modes, not just whether a prototype works
Are comfortable moving across the stack and quickly experimenting with new models, frameworks, and techniques

Nice-to-haves

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Benefits

Benefits detected in the listing.

Dental

Vision

Pto