Senior AI Engineer

The role

You will build AI-driven solutions to influence clinical research and improve patient care. This involves orchestrating models for multimodal data, designing RAG techniques, and building agentic systems.

What you will do

• Choose and orchestrate the right models to process and analyze multimodal data
• Design and implement cutting-edge RAG techniques to handle large medical documents and patient histories
• Build agentic systems for drug development such as patient recruitment or site selection
• Work closely with cross-functional teams to integrate AI into the platform
• Implement robust and scalable pipelines that meet production-grade engineering standards

Required qualifications

• Several years of engineering experience with machine learning, data science, or AI at the centre of your work
• Shipped LLM-based features that real users use
• Python proficiency
• Strong problem-solving skills
• Strong communication skills, oral and written, both English and French
• Strong product mindset able to challenge the product roadmap directly with our CPO
• Knowledge about LLM’s evaluation challenges
• Ability to autonomously deliver clean and production-ready code

Nice to have

• ML engineers and data scientists who moved into LLM work as it matured
• Researchers who moved into production
• Software engineers who went deep on AI and stayed there

Benefits

• Remote-first philosophy & flexible hours
• Top-of-the-line equipment
• Modern free health insurance (Benefiz)
• Compensatory time off (RTT)
• Lunch vouchers (Swile)
• Gym membership (Gymlib)
• Free books & learning material

About the company

Inato is a Tech for Good company that has built an AI-powered platform to help pharmaceutical companies and doctors collaborate. The company aims to bring clinical research to every patient regardless of who they are or where they live.