Prompt Engineer Intern (6 months from September)

Tribun Health; Paris; Hybride; EUR 17 856 - 20 088; Plein temps

Avantages offerts par ce poste

Hybrid work model

Modern offices near Montparnasse Tower

Résumé du poste

Tribun Health invites an intern to join two tracks around large language models in Paris, focusing on embedding prompts in the product (Mistral) and expanding internal use with Claude.

The role covers prompt design, testing, evaluation, and documenting best practices, while supporting responsible AI adoption in a healthcare tech environment.

You will work with Python, APIs, and stay updated on the evolving AI landscape within an international team.

Qualifications

• Master's level studies in CS, data science, AI, or engineering.
• First experience with generative AI / LLMs.
• Interest in healthcare / medical technology is a plus.

Responsabilités

• Design, test and optimise prompts embedded in the product running on Mistral models.
• Assess quality, reliability and robustness of generated outputs; build test sets and evaluation metrics.
• Industrialise prompts: versioning, documentation and sharing of best practices.
• Identify internal tasks and processes that LLMs (Claude in particular) can accelerate; develop, document and roll out internal use cases.
• Monitor model landscape and prompt engineering developments; adapt tooling accordingly.

Connaissances

Python

API integration

LLMs

Prompt engineering

Formation

Master's degree in Computer Science / Data Science / AI

Outils

Mistral

Claude

ChatGPT

Description du poste

For over 15 years, Tribun Health has been driving the digital transformation of cancer diagnosis through the use of artificial intelligence.

We develop software solutions that enable the transition from traditional, microscope-based pathology to fully digital pathology workflows, empowering pathologists to work efficiently on the computer.

This digitalization of pathology services provides a powerful response to the increasing workload and growing diagnostic complexity faced by pathology departments. It also enables the seamless integration of AI algorithms that support diagnosis, prognosis, and the development of new therapies.

Tribun Health has been recognized with the prestigious “Best in KLAS” Customer Experience Award for three consecutive years, reflecting our strong commitment to customer satisfaction. We take pride in our innovative digital pathology solutions, our customer-centric culture, and the positive impact we have on patients’ quality of life.

Scope

The intern will work on two complementary tracks around Large Language Models (LLMs): strengthening how they are embedded in our product, and expanding their internal use across our processes.

Your missions will be to :

Product track — in-product integration (Mistral)

• Design, test and optimise the prompts embedded in the product and running on Mistral models.
• Assess the quality, reliability and robustness of generated outputs; build test sets and evaluation metrics.
• Help industrialise prompts: versioning, documentation and sharing of best practices.

Internal track — tooling our processes (Claude)

• Identify internal tasks and processes that LLMs (Claude in particular) can accelerate.
• Develop, document and roll out internal use cases: automation, writing assistance, document summarisation and analysis.
• Support and train teams to use these tools effectively and responsibly.

Cross-cutting

• Maintain active monitoring of the model landscape (Mistral, Claude, ChatGPT) and of developments in prompt engineering.
• Solid command of prompt engineering applied to LLMs (Mistral and Claude in particular; familiarity with ChatGPT a plus).
• Strong programming fundamentals (Python) and experience consuming APIs.
• Analytical mindset and methodological rigour when evaluating results.
• Curiosity, autonomy, and the ability to explain technical topics in plain language.
• Technical English (reading documentation).
• An interest in the healthcare / medical technology field is a plus.

Education & work experience :

• Master's-level studies (Bac+4 / Bac+5) in computer science, data science, artificial intelligence, engineering or equivalent (engineering school or university).
• First experience, academic or personal projects in generative AI / LLMs strongly appreciated.

Hiring process

- 1st step: meeting with HR

- 2nd step : Meeting with CTO and the team

- 3rd step: Meeting with CEO

• Joining an international team of passionate experts, recognized for their deep knowledge and commitment to excellence
• Working on meaningful and rewarding projects, with guidance and support throughout your journey
• Thriving in a dynamic start-up environment that fosters innovation, autonomy, and collaboration
• Enjoying modern offices located at the foot of the Montparnasse Tower, surrounded by shops, restaurants, and vibrant city life

Our Values

Respect, Curiosity, Innovation, Sharing, and Perseverance

These values guide our daily work, our interactions, and our long-term vision.

Hybrid work model, designed to promote flexibility and a healthy work–life balance

Personalized onboarding program, ensuring a smooth integration and long-term success within the team