Applied AI Engineer - Healthcare

Percepta • New York City, NY

21h

About The Position

We’re hiring Applied AI Engineers who will work directly inside our health system, provider, and health plan partners—embedded with nurses, physicians, access teams, revenue cycle staff, IT, and operations—to build and ship AI-powered clinical and operational applications that change how care is delivered and how these organizations run. This is not a typical engineering role. You’ll be forward-deployed into care environments, working through legacy systems, fragmented data, and high-stakes operational workflows. You will build production-grade AI agents and automation that reduce administrative burden, unlock capacity, strengthen documentation, support staffing and scheduling, and ultimately improve experiences for thousands of patients and frontline staff: foundational work for the future of U.S. healthcare delivery.

Requirements

• AI-nativeness: You’re excited about the potential for AI to transform businesses and want to play a hands-on role in bringing frontier technology into critical institutions.
• Being generative and collaborative: You love constantly jamming on new “what if” ideas with teammates and partners.
• Extreme ownership: You’re willing to jump in and love being the one on the hook. You aren’t going to wait to be pointed at a task—you’re going to identify what you think we should do next, and then do it.
• Execution excellence and speed: You can build stuff in messy environments and know how to get code written and shipped quickly. You can hold the balance of speed and quality and know when to push the pace vs. when to slow down.
• Customer-obsession and respect: You’re motivated by understanding customer pain points and iterating directly with end users to deliver wins quickly.
• Strong product instincts shaped by operational complexity You know how to build for clinicians, operators, schedulers, and revenue cycle teams — and understand how small design choices drive or break adoption.
• Forward-deployed comfort You’re energized by working on-site, partnering shoulder-to-shoulder with care teams, validating assumptions in live workflows, and iterating quickly.
• Experience with healthcare data and infrastructure You’ve built systems using some combination of: EHR databases, ERP platforms, RCM/claims systems, Workforce management systems using integrations and technologies such as: FHIR, HL7v2, CCDAs, SFTP file drops Databricks and similar systems SQL + Python service integrations

Nice To Haves

• Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
• Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop, etc).
• Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure) and DevOps tooling.
• Prior startup or founding engineer experience, balancing craft, ownership, and speed.

Responsibilities

• Shape the direction for AI in hospital and payer operations
• Work with executives, service-line leads, clinical operators, revenue cycle directors, and informatics teams to understand constraints, uncover bottlenecks, and translate domain knowledge into high-impact AI applications across patient flow, documentation, scheduling, staffing, quality, revenue, and supply chain.
• Ship AI systems into production across complex healthcare environments
• Design and deploy agentic workflows that sit on top of EHR, ERP, RCM, workforce, and payer data.
• Build end-to-end systems that operate within operational constraints—nurses documenting, schedulers triaging, analysts validating—and iterate quickly based on frontline feedback.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed