AI Engineer

The role

You will design and deploy LLM-based systems and agentic workflows to automate medical coding in clinical environments. You will shape the AI architecture, define machine learning strategy, and integrate systems into hospital workflows.

What you will do

• Design and deploy LLM-based systems that automate medical coding in real clinical environments
• Build and evolve agent workflows suited to complex clinical operations
• Build secure, scalable data ingestion pipelines with hospital IT teams
• Integrate AI outputs into the applications used by doctors and hospital staff
• Define the AI roadmap with the CTO
• Own the full lifecycle of each AI feature including research, prototyping, evaluation, deployment and monitoring

Required qualifications

• At least 3 years of experience working on applied ML/AI problems in production
• Graduated from a top engineering school
• Solid experience with LLMs and NLP, especially prompt engineering and/or fine-tuning
• Proficient in Python or Node.js
• Worked with ML libraries (Hugging Face, LangChain, PyTorch...)
• Strong sense of ownership
• Autonomous and action-oriented

Nice to have

• Knowledge of backend services (Node.js/TypeScript) and data infrastructure
• Experience with sensitive or regulated data (healthcare, finance...)

Benefits

• Competitive salary
• Equity (BSPCE)
• Alan health insurance
• Swile meal vouchers
• Apple equipment
• 50% of public transport covered
• Team event every month
• Two offsites a year

Before you apply

• Call with the Hiring team
• Call with Chris, CTO
• Case study and interviews with Chris and Paul, the founders
• Reference checks

About the company

Parallel builds AI agents that help healthcare organizations automate administrative processes like medical coding. Launched in 2024, the company has 800+ customers and a team of 30+ people.