Applied AI Software Engineer (All Levels)

Blossom

📍New York, NY
Posted May 19, 2026

Job Overview

Position

Applied AI Software Engineer (All Levels)

Company

Blossom

Location

New York, NY

Work Type

On-site

Job ID

li-4416493233

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:**

  • Design and build scalable, reliable systems powering core product workflows

  • Ship high-quality code that balances speed and technical rigor

  • Proactively identifying and resolving system reliability risks, owning uptime, observability, and performance as first-class engineering concerns

  • Leverage cutting-edge AI to create intuitive and novel clinician and patient experiences

  • Conduct thoughtful code reviews and provide technical mentorship, raising the bar for engineering excellence across the team and beyond

**You'll thrive here if you:**

  • Have a bachelor's degree or equivalent experience in Computer Science or related field

  • Have 2+ years of professional working experience outperforming in high-quality environments

  • Excel at building production systems end-to-end with minimal oversight

  • Are fluent in TypeScript and/or Python (experience with LLM-powered apps preferred)

  • Are comfortable with traversing the software stack and picking up the latest technologies to drive technical outcomes

  • Love autonomy, ambiguity, 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

Compensation Range: $150K - $220K

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design an end-to-end system for an AI-native mental health platform that ensures high reliability and observability, especially when integrating LLMs for clinician workflows?
  • 2.When building LLM-powered features for psychiatric workflows, how do you balance shipping high-velocity code with the technical rigor required for patient-facing healthcare applications?
  • 3.Can you walk me through your process for proactively identifying and resolving system reliability risks in a production environment?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to build a production system end-to-end with minimal oversight in a highly ambiguous environment.
  • 2.Describe a situation where you had to balance the urgency to ship a feature quickly with the need to maintain high engineering excellence.
  • 3.Give an example of a time you provided technical mentorship or a thoughtful code review that significantly raised the bar for a peer or your team.
🧩Situational Questions (2)
  • 1.You discover that an LLM integrated into our clinician platform is occasionally generating plausible but clinically incorrect suggestions. How do you handle this immediately, and what long-term system design changes do you propose?
  • 2.You are tasked with leveraging cutting-edge AI to create a novel patient experience, but the requirements are highly ambiguous and the technology is unproven. How do you approach this from day one?

Resume Keywords

Make sure these keywords appear on your resume

TypeScriptPythonLLMSystem ReliabilityObservabilityEnd-to-EndMental HealthAI-nativeAutonomyCode ReviewsScalable SystemsStartup

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