Who We Are

Inato is a Tech for Good company striving to bring clinical research to each and every patient, regardless of who they are or where they live. To do this, we’ve built an AI-powered platform that changes how pharmaceutical companies and doctors around the world collaborate to bring medical breakthroughs to patients. Leading companies and over 5,500 research sites rely on Inato to increase patient access, improve representation in trials, and deliver life-changing treatments to patients faster.

Drug development is a challenging, intellectually complex, and rewarding endeavor. We are a growing team of passionate pharmaceutical experts, software and AI engineers, professional services members, and many more—all bringing their unique perspectives to solve the challenges facing clinical research.

Inato is a recipient of Fast Company’s Most Innovative Companies, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025 and 2026.

🧑‍💻 The Role

We are looking for a dedicated and creative AI Engineer to join our team. As an essential contributor to our mission of transforming healthcare, you'll play a leading role in building AI-driven solutions that directly influence clinical research and, ultimately, improve patient care. We’ve already deployed multiple AI use cases in production, and your skills will be crucial in pushing the boundaries of healthcare AI.

💊 Responsibilities

In this role, you'll take on complex challenges that will stretch your abilities and creativity:

Choose and orchestrate the right models to process and analyze multimodal data

Design and implement cutting-edge RAG techniques to efficiently handle large medical documents and patient histories

Build agentic systems to revolutionize key aspects of drug development such as patient recruitment or site selection

Work closely with cross-functional teams (software engineers, product managers, data engineers) to seamlessly integrate AI into our platform

Implement robust and scalable pipelines that meet production-grade engineering standards

Here are some examples of projects you might work on:

Our prescreening tool: an app relying on the latest reasoning models and visual RAG to accelerate patient recruitment. It's already being used across hundreds of clinical sites to assess patient eligibility at scale. You may find more on this in our publication: https://arxiv.org/abs/2503.15374

Our site selection agent: an agentic assistant coupled with a mathematical optimizer to assist pharmaceutical sponsors in their search for efficient clinical sites and find the right mix of sites for every study

💊 Qualifications

Several years of engineering experience with machine learning, data science, or AI at the centre of your work, not alongside it.

You’ve shipped LLM-based features (OpenAI, Anthropic, RAG setup, agent setup, LLM observability tools etc.) that real users use, and you’ve lived with them afterwards: fixed them when they broke, iterated when they underperformed, watched how people actually used them.

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

🤩 Good fits we see often

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.

😕 Probably not a fit

your AI work has been research, prototypes or POCs with nothing shipped and maintained in production.

you’ve spent most of your career in software engineering and shipped your first AI feature in the last year.

Why Inato?

Our mission is to make clinical trials more accessible and inclusive. We value diverse backgrounds and experiences, bringing together industry veterans with fresh perspectives to advance the clinical trials industry.

Join us at Inato and be part of a team that’s making a real difference in healthcare.