AI Engineer for Academic Services and Program Support

EPFL; Vaud; On-site; CHF 110,000 - 150,000; Full time

Benefits offered by this job

World-leading university environment

GPU computing infrastructure access

Training and courses

Job summary

EPFL, the Swiss Federal Institute of Technology in Lausanne, invites applications for an AI Engineer in Academic Services and Program Support. You will design, develop, and deploy AI systems using Large Language Models within EPFL's secure infrastructure to assist students, instructors, and teaching sections.

Working with the Center for Digital Education and LEARN, you will extend the Graph AI Platform and Agent Framework, building tools for survey analysis, course descriptions, and

Qualifications

• Master's degree in Computer Science, ML, AI, or related field.
• 2-3 years of professional experience in ML/AI application development.
• Strong background in Large Language Models.
• Proficient in Python programming and ML frameworks.
• Experience with handwriting recognition or document processing.
• API development and data engineering experience.
• Familiarity with vector databases and semantic search.
• English (C1) and French proficiency.

Responsibilities

• Support pedagogical processes such as course evaluations and course description development.
• Assist administrative processes with document analysis and quality checks; support decision-making in complex scenarios.

Skills

Python

ML Frameworks

Large Language Models

Document Processing

API Development

Data Engineering

Vector Databases

Semantic Search

English Proficiency

French Proficiency

Education

Master's in Computer Science/ML/AI

Tools

OCR

GPU/ML infra

Job description

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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than 6,500 people supporting the three main missions of the institutions: education, research and innovation. The EPFL campus offers an exceptional working environment at the heart of a community of more than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries.

AI Engineer for Academic Services and Program Support

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

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)

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