Job Description

Your mission

• Define success criteria, test suites, and evaluation metrics for your topic.
• Design and iterate on LLM-based approaches (prompting, agentic workflows, intermediate representations).
• Benchmark quality, reliability, and cost/latency, and document trade-offs.
• Work with engineers and data scientists to build evaluation pipelines and share findings.
• Languages & Frameworks: Python, LangGraph
• Data & ML Infrastructure: Weights & Biases, Hugging Face Hub, Google Cloud Platform (GCP), Docker, Kubernetes
• Databases: PostgreSQL
• CI/CD & Experimentation: CircleCI, MLflow, and internal orchestration tools
• Hybrid: possibility to work partially remotely
• Office in the heart of Paris (Paris 9)
• Choose your working environment (hardware / OS)
• A competitive remuneration package
• Opportunity to continue your journey with us after your internship

Technical stack

• Our current AI and engineering stack includes:
• Languages & Frameworks: Python, LangGraph
• Data & ML Infrastructure: Weights & Biases, Hugging Face Hub, Google Cloud Platform (GCP), Docker, Kubernetes
• Databases: PostgreSQL
• CI/CD & Experimentation: CircleCI, MLflow, and internal orchestration tools
• We don’t expect you to know them all. What matters most is your ability to learn quickly, experiment rigorously, and translate data insights into actionable results.