Applied AI Engineer

Why you should work here:

What we're looking for:

What you'll do:

You'll thrive here if you:

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

Qualifications

• 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
• 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

Responsibilities

• 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
• 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