As we scale, we’re looking for a Full-Stack Engineer to join us at this pivotal moment. You won’t just write code — you’ll help shape the architecture, make key product decisions, and define our engineering culture. This is a rare opportunity to build with high ownership, alongside a small and passionate team who cares deeply about craft, clarity, and impact.

You’ll work closely with the founders on everything from fast prototypes to production-ready systems, and play a critical role in bringing Parallel’s vision to life. If you’re excited by the idea of building an iconic product in a space that’s ripe for reinvention, we’d love to talk.

We are looking for a Full-Stack Engineer to help us achieve our mission of reducing administrative workload in hospitals.

This is a full-time role focused on building AI solutions designed to be rapidly deployed into production in hospitals.

Mission

As a Full-Stack Engineer, you will:

• Drive the development of our medical coding backend

• Help building the medical coding LLM agentic solution in close collaboration with our CTO

• Build the frontend of the solution (doctors & admin operators user-facing app)

• Build data pipelines between hospital systems and our tech stack, ensuring interoperability while adhering to HDS (health data security) standards

• Work closely with the CTO to refine our application’s architecture, balancing fast iterations and scalability

• Engage in the fast-paced, product-focused environment of an early-stage startup

We’re looking for someone who’s passionate about the ongoing AI revolution, action-oriented, autonomous, and ambitious. You are the ideal candidate if you have:

• 4+ years of experience in Fullstack Dev Role

• Proficiency in Node.js & Typescript

• Experience in devOps and infrastructure (no need to be proficient)

• Ability to work with high-level goals, break down complex problems, and deliver results independently

Technical stack

• Backend: Typescript with NestJS, Express, Prisma, Postgres

• Frontend: React, TanStack, Tailwind

• Data: Python & Node (for low level proxy servers)

• Tools: Monorepo, Github, Github actions

• Infra: AWS, Azure, Cloudflare, Docker, Terraform, Kubernetes

• CI/CD: Github, Github Actions, Monorepo setup

• Observability: Datadog

• AI/ML: Hugging Face, LangChain

Engineering Mindset

• Data security is our foundation, given our work with sensitive health data

• We focus on solving user problems, not shipping features — deep product involvement is essential

• Full type safety from database to UI

• Rapid development with tools like Cursor

• Automated best practices with eslint, Prettier, Jest, and TypeScript

• We leverage the latest technologies and libraries but sometimes, old boring tech that does the job is what’s needed

• Infrastructure should empower — not block — product iteration

• Quick chat with our CTO Chris

• Case study in our office in Paris

• Meeting with our CEO Paul

• Drink to meet the team