Engineer F/H: Generative AI agentic architectures for educational technologies

Inria, the French national research institute for the digital sciences; France; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A national research institute for digital sciences in Bordeaux is seeking a research engineer. The role involves designing and implementing generative AI systems tailored for educational content creation. The successful candidate will hold an advanced degree and possess demonstrated expertise in large-scale AI systems. Collaboration with educational partners and contributions to open-source projects are key components of this position. Flexible working hours and teleworking options are available, along with reimbursement of transport costs.

Prestations

Partial reimbursement of public transport costs

Possibility of teleworking

Professional equipment available

Social, cultural and sports events

Qualifications

• Demonstrated expertise in large-scale generative AI systems (inference and training pipelines).
• Experience deploying ML systems in production environments.
• Contributions to open-source projects.

Responsabilités

• Design, implement, and evaluate generative AI systems for creating educational content.
• Collaborate with pedagogical experts and translate educational requirements.
• Conduct experiments analyzing learning traces in classroom environments.

Connaissances

Large-scale generative AI systems

Modern deep learning frameworks (PyTorch, TensorFlow)

Programming (Python)

Collaboration in interdisciplinary teams

Sufficient mastery of French

Learning analytics

Formation

Advanced degree (Master's or PhD) in Computer Science, AI, or related field

Outils

Hugging Face ecosystem

Description du poste

Inria, the French national research institute for the digital sciences

Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1) Country France Application Deadline 30 Jun 2026 - 00:00 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38.5 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2025-09619 Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Flowers AI & CogSci Lab at Inria, in partnership with EvidenceB, Café pédagogique, and ClassCode, is launching GAIMHE (Generative AI for Hybrid Mathematics Education), a large-scale research and innovation project funded by Bpifrance. This initiative addresses a critical challenge in educational technology: developing AI systems that combine the pedagogical rigor and personalization capabilities of Intelligent Tutoring Systems (ITS) with the flexibility and generative power of modern large language models.

Current ITS platforms, such as EvidenceB's AdaptivMaths, leverage cognitive science principles and structured pedagogical graphs to deliver personalized learning pathways to students. These systems have demonstrated effectiveness across tens of thousands of classrooms in France (primary, middle, and high schools, across multiple disciplines including AdaptivMaths and MIA Seconde). However, their development requires substantial manual content creation. Conversely, generative AI offers unprecedented flexibility but often lacks pedagogical grounding, cannot sustain long-term curriculum personalization, and raises concerns about energy efficiency and pedagogical biases.

GAIMHE will develop hybrid architectures that harness generative AI for automated content generation while maintaining pedagogical constraints, deploy targeted generative guidance aligned with established learning theories, and create compact student models for next-generation personalization algorithms. The project will leverage EvidenceB's extensive deployment infrastructure to work with authentic large-scale educational data and validate innovations in real classroom settings. In alignment with open science principles and through partnership with Région Île-de-France, major project outputs (datasets, models, software) will be released as digital commons under open-source licenses.

• Design, implement, and evaluate generative AI systems for automated creation of pedagogically compliant educational exercises and content
• Develop and optimize agentic architectures integrating large language models with structured ITS frameworks, ensuring pedagogical alignment and computational efficiency
• Implement and fine-tune small-scale generative models for student learning trajectory prediction and personalized curriculum adaptation
• Deploy LLM-as-judge frameworks and reinforcement learning approaches to evaluate and improve pedagogical quality of AI-generated content
• Conduct large-scale experiments analyzing learning traces and student interactions with hybrid AI systems in authentic classroom environments
• Collaborate with pedagogical experts, cognitive scientists, and industrial partners to translate educational requirements into technical specifications
• Contribute to open-source software development and documentation for digital commons dissemination
• Participate in scientific valorization through publications, presentations, and technical reports
• Advanced degree (Master's or PhD) in Computer Science, AI, Machine Learning, or related field
• Demonstrated expertise in large-scale generative AI systems (inference and training pipelines)
• Strong experience with modern deep learning frameworks (PyTorch, TensorFlow, Hugging Face ecosystem)
• Proficiency in training and optimizing small-to-medium scale language models
• Experience with agentic architectures, LLM orchestration, and prompt engineering
• Knowledge of LLM-as-judge methodologies and/or reinforcement learning for LLMs
• Strong programming skills (Python required, other languages valued)
• Sufficient mastery of French language for collaboration with French educational partners and documentation
• Ability to work collaboratively in interdisciplinary research teams
• Experience with learning analytics, educational data mining, or education research
• Knowledge of cognitive science, learning theories, or pedagogical design principles
• Familiarity with ITS architectures or adaptive learning systems
• Experience deploying ML systems in production environments
• Contributions to open-source projects
• Publications in relevant AI, ML, or educational technology venues

Position details: Location: Inria Bordeaux - Sud-Ouest, Talence, France
Contract type: Fixed-term research engineer position Starting date: As soon as possible

• Partial reimbursement of public transport costs
• Possibility of teleworking and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities