About us

Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software. At the heart of this system is Owkin K, an AI copilot and its new LLM fine-tuned on biology called Owkin Zero, used by researchers, clinicians, and drug developers to better understand biology, validate scientific hypotheses, and deliver better diagnostics and therapies faster.

Position is based in our Paris office.

Please submit your CV in English

About the role:

 As a AI Engineer Intern, you will contribute to build the data pipelines fuelling the leading Agentic AI product for biomedical researchers by optimising workflows, integrate new biological datasets, and develop new features within the team. You'll be working on a real-time system that integrates LLMs, tool-calling, and interactive UI elements, making sure our users can seamlessly engage with complex domain specific data.

This role requires integrating in a multi-disciplinary team (Software Engineers, Data Engineers, MLEngineers, Data Scientists) working on Owkin’s agentic product: K: Multimodal Context team. The team is responsible for providing the right information to the orchestration through tool calling.

The internship is expected to involve contributions across these different expertises in various parts of the product.

The internship will be supervised by a dedicated member of the team and the whole team will ensure to set it up for success.

In particular, you will:

• Onboard on Owkin’s agentic data pipelines, K ecosystem, and learn to manipulate Owkin’s proprietary biological datasets

• Grasp a firm understanding of the data production pipeline, identify bottlenecks and potential improvements.

• Address user feedback from multiple parties: internal biomedical team, pharma clients, students, researchers… to continuously increase the capacities of K,

• Improve developer experience: Build manual workflows (documentation & make commands), continuous integration / delivery (CI / CD) workflows (github actions), orchestrated workflows (Airflow), dashboards (Grafana) in order to continuously elevate the engineering standards of the development of the product

• Experiment innovative improvements and Proofs of Concept on a sub-component of the product.

At the end of the internship, we expect you to:

• Make meaningful contributions to the codebase that directly impact the data production/integration into K,

• Define and implement cross-modality complex agentic workflows involving biological data,

• Write and review high-quality code respecting the industry standards (CI/CD workflows, linting, typing) 

About you

• Master student or equivalent level (ideally end of study internship)

• You’re driven by impact — excited to empower biomedical researchers with intuitive, AI-driven tools that unlock scientific discovery.

• Strong collaborative skills with an open, pragmatic mindset; you thrive in multidisciplinary environments that involve people with diverse backgrounds.

• Clear and effective communicator who can translate technical complexity into actionable decisions for the team.

• Proven track record of agentic AI or data engineering projects

• Fluent English, both written and spoken.

• Stack: Python, Airflow, Grafana, Github

#LI-MD1 

What we offer

• Flexible work organization

• Friendly and informal working environment

• Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security

• Please complete the form and submit your CV.

• Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.

• Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual’s desire to obtain a job and can sometimes “feel” like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:

• Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.

• Communication is always through an official Owkin email address (from the @owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).

• The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @Owkin.com.

• The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;

• Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger

• Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.

If you think that you have been a victim of fraud,

• Check the identity of the talent team on LinkedIn

• Check our senior team on our website https://owkin.com/team/

• Check the existence of the position on our website: https://www.owkin.com/careers#current-opportunities

• Notify Owkin's recruitment unit at this address [email protected]

• contact the following authorities:

  • [FR] https://internet-signalement.gouv.fr/

  • [UK] https://www.actionfraud.police.uk/reporting-fraud-and-cyber-crime

  • [US] https://reportfraud.ftc.gov/