Applied AI Engineer
Blossom Health
New York, NY · Posted November 7, 2026
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November 2026
- #1Best cities for operations jobs1,429 openings · of 100
- #1Best cities for sales jobs2,774 openings · of 78
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Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 56 open applied ai engineer listings that state pay, the middle half runs $200,000 to $266,500 and the median is $227,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
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About the job
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