Applied AI Engineer

About the role

As an Applied AI Engineer, you own the technical delivery of real deployments end to end. You design the agents, build them, and are responsible for ensuring they work in the field.

Responsibilities

• Designing and building an AI agent for a specific clinical workflow, from first prototype to production
• Deciding what an agent should and should not handle, and where it hands off to a human
• Building the evaluations that decide whether an agent is safe to ship, and catching failure modes before patients do
• Writing the integrations that let agents work inside a customer’s existing systems
• Debugging why a live conversation went wrong and fixing it across the whole stack
• Finding the patterns that repeat across customers and turning them into something reusable

Requirements

• You've built real software that other people relied on, and you care whether it actually works, not just whether it shipped
• You're comfortable with LLMs and agents, or you'll get comfortable fast
• You take ownership. When something is broken, you fix it, and you say so early when something is more than you can carry
• You have good judgment about tradeoffs, and you’d rather get the direction right than move fast in the wrong one
• You’re low ego, direct, and hold yourself to a high bar
• You can work on site in New York City

Qualifications

• You may be a fit if You’ve built real software that other people relied on, and you care whether it actually works, not just whether it shipped
• You're comfortable with LLMs and agents, or you'll get comfortable fast
• You take ownership. When something is broken, you fix it, and you say so early when something is more than you can carry
• You have good judgment about tradeoffs, and you’d rather get the direction right than move fast in the wrong one
• You’re low ego, direct, and hold yourself to a high bar
• You can work on site in New York City

Skills

• Experience in a regulated or high-reliability domain (healthcare, finance, legal) is nice to have
• Background with evaluation, simulation, or synthetic data is nice to have
• Experience working directly with customers or domain experts is nice to have
• Python depth and experience building reliable systems on top of external APIs is nice to have

Benefits

• Comprehensive health, dental, and vision insurance
• Daily catered lunch and dinner
• Mental health support and wellness coaching
• Flexible wellness stipend for fitness, therapy, or personal growth
• Annual learning budget for courses, books, or conferences
• Conference attendance budget for professional development
• Annual team offsite
• Academic collaboration opportunities
• Unlimited PTO

Pay

$130K - $240K

Schedule

Full-time