Applied AI Software Engineer

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