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Internship – Optimization of a RAG (Retrieval-Augmented Context Generation)

Internship – Optimization of a RAG (Retrieval-Augmented Context Generation)

On site

Palaiseau, France

Internship

20-01-2026

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Skills

Python Motivation Autonomy Data Science Langchain

Job Specifications

Osborne Systems is a deep-tech software company building a SaaS platform that automates and standardizes the engineering of industrial flow-measurement systems for critical energy projects.

We help engineering teams reduce design time, errors, and compliance risks across the full project lifecycle. Our team has joined the École Polytechnique incubator, providing a demanding and stimulating technical environment.

Within this framework, the company is designing an agent based system integrating a RAG (Retrieval Augmented Generation) pipeline dedicated to the extraction and exploitation of technical information from complex documents.

Missions

The intern will primarily work on optimizing the retriever, while also being able to contribute to improvements of other components of the agent-based system.

The missions notably include:

·     Optimization of document chunking and structuring strategies

·     Analysis, comparison and selection of embedding methods suited to industrial technical data

·     Implementation of query augmentation / query rewriting techniques

·     Design and implementation of improvements in Python (LangChain)

·     Evaluation of the retriever and RAG system performance (result quality, robustness, latency)

·     Contribution to the improvement of other components of the agent based system (agents, extraction pipeline, orchestration)

·     Proposals for improvement axes aimed at strengthening the overall reliability and performance of the system

Required / appreciated skills

·     Very strong foundations in Python

·     Knowledge of LLMs and RAG systems

·     Experience with or strong interest in LangChain

·     Ability to work on complex, production-oriented AI systems

·     Rigor, autonomy, and analytical mindset

Desired profile

·     Master’s student or engineering school student (AI, computer science, data science)

·     Interest in industrial applications of AI

·     Sensitivity to system performance and reliability issues

Internship location and duration

·     École Polytechnique – Drahi Xnovation Center

·     Duration: 6 months

Application / Contact

Interested candidates are invited to send an email including a CV and a short motivation email describing their background, experience, and interest in generative AI at tanguy.valin@osborne-systems.com

About the Company

Shaping the future of digital measurement and automation in energy. Osborne Systems is a deeptech company at the intersection of measurement, automation, and energy. Guided by precision, innovation, and reliability, we develop patented digital solutions that help industries improve efficiency, reduce risks, and accelerate the energy transition. Our ambition is clear: to become a global leader in automation and measurement, powered by a team of passionate engineers committed to excellence. Know more