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About the Role

Job Title: Founding AI Engineer
Location: unspecified
Employment Type: Full-time
Department: unspecified

As we scale, we're looking for a Founding AI Engineer to join us at this pivotal moment. You won’t just write models — you’ll help shape the core AI architecture, define our machine learning strategy, and embed intelligent systems directly into hospitals. This is a rare opportunity to build with high ownership, alongside a small and passionate team who cares deeply about craft, clarity, and impact.

Responsibilities

• Design and implement LLM-powered systems for automating medical coding
• Build and iterate on agent-based workflows tailored to complex clinical operations
• Collaborate on integrating AI outputs with user-facing apps used by doctors and hospital staff
• Work closely with hospital IT to build secure and scalable data ingestion pipelines (adhering to health data security standards)
• Partner with the CTO to define the AI roadmap and integrate state-of-the-art tools with robust backend infrastructure
• Own the full lifecycle of AI features: research, prototyping, evaluation, deployment, and monitoring

Requirements

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:

• 3+ years of experience working on applied ML/AI problems in production environments
• Strong experience with LLMs and NLP, including prompt engineering and/or fine-tuning
• Proficiency in Python or Node.js and experience with ML libraries (e.g. Hugging Face, LangChain, PyTorch, etc.)
• Familiarity with backend services (Node.js/TypeScript) and data infrastructure is a strong plus
• A deep sense of ownership and ability to move from prototype to product quickly
• Experience working with sensitive or regulated data (healthcare, finance, etc.) is a bonus

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
• Infrastructure: 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

Interview Process

• Quick chat with our CTO Chris
• AI/technical case study — ideally in person at our Paris office
• Meeting with our CEO Paul
• Drink to meet the team

Life at Parallel

At Parallel, you’ll work at the intersection of healthcare, AI, and real-world impact. We move fast, iterate constantly, and ship meaningful work. We’re looking for people who care deeply about solving hard problems that matter.

Benefits

• 💰 Competitive package: We hire top talent and offer top market compensation and equity packages.
• 🤝 Team-first culture: The whole team gathers monthly for events, 2 times per year for off-sites.
• 🏙️ Sweet office: Nice and bright office in the center of Paris 2e.
• 📦 Everything you could expect:
  • Premium health insurance via Alan
  • Swile meal vouchers
  • The latest Apple equipment
  • 50% reimbursement on public transport
  • Access to the tools (Cursor, ChatGPT…) or resources (books, courses) you need