AI Engineer for Academic Services and Program Support
Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 3, 2026.
About the position
Academic services and operations are getting more complex with the increasing number of programs, courses and students. At the Center for Digital Education, we are collaborating with academic support units to develop AI services that help answer requests from students, instructors and teaching sections. The services encompass the evaluation, verification and classification of documents (e.g. open survey responses) as well as support for the editing of documents (e.g. course descriptions).
We are seeking an AI Engineer for academic services and program support to design, develop, and deploy safe and secure AI systems that support existing business processes, allowing staff to focus on helping students and instructors solve their problems. Working with Large Language Models hosted on EPFL's secure infrastructure, you'll create innovative solutions which follow a responsible approach to AI.
Our infrastructure includes:
- Graph AI Platform: Knowledge graph, semantic search, and RAG construction
- RCP Computational Infrastructure: GPU clusters, local LLMs, specialized AI services
- Agents Framework: Orchestration layer for chatbots and AI applications
- Production Applications: 20+ AI tutors and chatbots, analytics tools, search engines
You'll extend this ecosystem with functionalities and APIs specifically designed to support academic services that run in their dedicated IT environment.
Mission
You will develop AI applications that support academic services and operations at EPFL. You will closely collaborate with the Teaching Support Centre, the Registrar's office and the Central IT services. You'll build tools that help pedagogical advisors analyse survey responses, lighten instructors' administrative tasks, support administrators in checking documents for completeness and quality as well as support program directors in conducting accreditation work.
Main duties and responsibilities
1. Supporting pedagogical processes (50%)
- Course evaluations (extract topics, categorize comments)
- Course description (support description of skills with regards to competence framework)
2. Supporting administrative processes (50%)
- Administrative document analysis and quality checks
- Support administrators in complex decision making processes
Both areas of activity require particular attention to fairness and a strong commitment to the security of data processing. Potential solutions will be tested and evaluated in collaboration with our benchmark engineer for the absence of bias and the quality of responses.
Profile
Education & Experience
Master's degree in Computer Science, Machine Learning, AI, or related field
2-3 years of professional experience in ML/AI application development
Strong background in Large Language Models
Technical Skills
Expert in Python programming and ML frameworks
LLM application development: RAG systems, prompt engineering, fine-tuning
Computer Vision/OCR: Experience with handwriting recognition or document processing
API development and data engineering experience
Familiarity with vector databases and semantic search
Desired Qualifications
Experience in educational technology or learning analytics
Knowledge of educational assessment theory and practices
Background in AI ethics and responsible AI development
- English (C1) and French
We offer
Professional Environment
Work at the intersection of AI and education at a world-leading technical university
Collaborate with AI & Education specialists from the Center for Learning Sciences (LEARN)
Access to EPFL's secure on-premise AI infrastructure (RCP GPU clusters, local LLMs)
Direct impact on teaching and learning for 1,000+ instructors
Technical Resources
State-of-the-art GPU computing infrastructure
Access to latest open-weight models and commercial APIs for development
Integration with established platforms (Graph AI, Intelligent Agents, chatbot framework)
Development Opportunities
Continuous learning environment with access to courses and training
Work on cutting-edge applications of LLMs in education
Contribute to open-source educational AI tools
Informations
Contract Start Date : 01/04/2027
Activity Rate Min : 80.00
Activity Rate Max : 100.00
Contract Type: CDD
Duration: 1 year
Reference: 2558