Senior AI Engineer

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 are building the world's first clinical trial platform to create greater visibility, access, and engagement across a more diverse population of doctors and their patients.

Drug development is a challenging, intellectually complex, and rewarding endeavor: we enable global pharmaceutical companies to confidently partner with community-based researchers to increase patient access to the latest medical innovations. Our AI-powered platform currently offers clinical trials from leading companies to over 5,500 sites across the globe and we are well poised for growth in 2026.

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 the recent recipient of Fast Company’s Most Innovative Companies of 2024, Fierce Healthcare’s Fierce 15, and Built In's Best Places to Work 2025.

🧑‍💻 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

• Hands-on professional experience on LLMs (OpenAI, Anthropic, RAG setup, agent setup, LLM observability tools etc.), 1 year in a production environment (not a pet project)

• 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

• Experience implementing and deploying AI-based features in production

• Knowledge about LLM’s evaluation challenges

• Ability to autonomously deliver clean and production-ready code

Bonus

• you reconverted from software engineering

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.

💊 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

Compensation: €70K – €95K • Offers Equity

• • €70K – €95K • Offers Equity

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