AI Engineer Intern — Healthcare Tech, Hybrid (6 months)

Doctolib; Paris; Hybrid; EUR 11,000 - 17,000; Full time

Benefits offered by this job

Meal vouchers

Free breakfast in the office

Up to 2 remote days per week

Hybrid work policy

Job summary

Doctolib is offering a structured internship in AI to work within our tech teams in a healthcare context. You will contribute to AI features and services, writing Python code to support prototypes, experiments, evaluation tools, and backend components.

You will explore large language models, prompting techniques, retrieval, and tool integration, with mentorship and progressive exposure to the codebase and challenges. A hybrid setup with remote days is available.

Qualifications

• Currently in final year of degree in Computer Science, Artificial Intelligence, Software Engineering, or related field.
• Basic Python experience from coursework, projects, research, or internships.
• Understanding of programming concepts, data structures, and software development.

Responsibilities

• Contribute to development of AI features and services under mentor guidance.
• Write Python code to support prototypes, experiments, tools, and backend components.
• Experiment with LLMs, prompting, retrieval, and tool integration.
• Contribute to automated tests and documentation for developed components.
• Investigate issues, analyze results, and suggest improvements to the team.
• Participate in code reviews, technical discussions, and team rituals.

Skills

Python basics

English communication

AI curiosity

Soft AI framework knowledge

Education

Final year of CS/AI/Software Engineering

Job description

Doctolib is offering a structured internship in AI to work within our tech teams in a healthcare context. You will contribute to AI features and services, writing Python code to support prototypes, experiments, evaluation tools, and backend components.

You will explore large language models, prompting techniques, retrieval, and tool integration, with mentorship and progressive exposure to the codebase and challenges. A hybrid setup with remote days is available.