Internship – Optimization of a RAG

il y a 3 jours

Palaiseau, Île-de-France Osborne Systems Temps plein

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

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