Engineering Lead, US

present of AI; New York (NY); Sur place; USD 150 000 - 230 000; Plein temps

Résumé du poste

Parallel in New York seeks a hands-on lead to adapt an AI coding product for US hospitals and run pilots to go live. You will ship software that handles US patient data, build EHR integrations, and still code enough to unblock the team.

You will hire and lead a small New York engineering group while coordinating with the Paris team, focusing on trustworthiness of AI in real hospital software and regulatory compliance.

Qualifications

• Experience delivering production software handling US patient data.
• Proven ability to lead a small US-based engineering team.
• Experience integrating EHR systems (HL7 FHIR) and working under HIPAA.

Responsabilités

• Lead adaptation of AI coding product for US hospitals and drive pilots.
• Hire and oversee a NY engineering team while coordinating with Paris team.
• Ensure security reviews and regulatory compliance are met.
• Develop and measure AI output accuracy in hospital software.

Connaissances

Healthcare software shipping

Team leadership

EHR integrations

Regulatory compliance

LLM deployment in healthcare

Outils

HL7 FHIR

Description du poste

This is a hands on lead role for someone who can adapt an existing AI coding product to US hospitals and get it live in first pilots. A strong candidate has shipped software handling US patient data, built EHR integrations, and still writes code to unblock the team. They also need to hire and lead a small New York engineering group while keeping one product with the Paris team.

How it fits the AI era

The product itself is AI agents that read patient records and suggest codes, so the lead works close to LLM driven automation and accuracy measurement. Much of the hard work stays human: adapting to US coding rules, wiring into hospital systems, security reviews, and judging what to build first. The role is less about writing every model and more about making AI output trustworthy inside real hospital software.

How it builds AI experience

The person would gain direct experience deploying LLM agents in a regulated health setting, including building test sets and measuring coding accuracy. They would learn computer use automation against hospital EHRs and the security and data work that surrounds it. Prior production LLM or ML work helps but is listed as a plus, so building that proof through pilot deployments is a realistic path.

Worth showing

• EHR integrations HL7 FHIR
• HIPAA and security reviews
• Hands on team leadership

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Parallel

AI agents that do hospital administrative work, starting with medical coding, by working inside the hospital's existing software.