Field Deployment Engineer, AI & Healthcare Automation

Parallel; Paris; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Equity package

Premium health insurance

Apple equipment

Job summary

Parallel is seeking a Field Deployment Engineer to technically lead on-site deployments of our healthcare AI platform in Paris. You will bridge Parallel with client IT infrastructures, adapt our system to facilities, and unblock projects by hands-on engagement.

Ideal candidates have 5+ years of full-stack experience, strong Node.js/TypeScript and React skills, and familiarity with AI agents. You’ll work directly with clients, handle complex environments, and help define deployment standards.

Qualifications

• 5+ years of full-stack experience, with delivery in complex healthcare deployments.
• Strong in Node.js/TypeScript and React, with modern frameworks and libraries.
• Experience with AI agents/LLMs (LangChain, Hugging Face) is a plus.
• Ability to work directly with clients and lead on-site deployments.

Responsibilities

• Technical lead for end-to-end deployments, assessing facility IT infra and constraints.
• Adapt Parallel platform to interfaces, security, and on-prem architectures.
• Hands-on product involvement to unblock projects and drive adoption.
• Collaborate with clients to manage changes and ensure smooth rollouts.
• Define deployment standards and upscale the team’s capabilities.

Skills

Full-stack experience

Node.js & TypeScript

React

LLMs / AI agents

Client interaction

Problem solving

Field engineering mindset

Tools

NestJS

Express

Prisma

PostgreSQL

TanStack

Tailwind

LangChain

Hugging Face

Job description

Parallel is seeking a Field Deployment Engineer to technically lead on-site deployments of our healthcare AI platform in Paris. You will bridge Parallel with client IT infrastructures, adapt our system to facilities, and unblock projects by hands-on engagement.

Ideal candidates have 5+ years of full-stack experience, strong Node.js/TypeScript and React skills, and familiarity with AI agents. You’ll work directly with clients, handle complex environments, and help define deployment standards.