Stellantis

We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs) to design, develop, and implement AI-powered automations across the company.

Your primary responsibility will be to work in the team that analyzes internal processes, identifies automation opportunities, and builds intelligent solutions that improve efficiency, accuracy, and scalability.

This role is ideal for someone who combines deep technical knowledge with a product mindset and enjoys building practical, high-impact AI systems.

Key Responsibilities

• Work closely within a team to define required data and methods to solve a given problem.
• Design, develop, and deploy LLM-based automation tools to streamline internal workflows across departments.
• Integrate LLM models (OpenAI, Anthropic, open-source models, etc.) into internal systems and software products.
• Build and maintain prompt pipelines, agents, RAG systems, and internal AI services.
• Collaborate with operations, product, and engineering teams to map workflows and identify automation opportunities.
• Evaluate model performance, optimize prompts, and improve system accuracy and reliability.
• Implement monitoring, logging, and evaluation frameworks for LLM-driven applications.
• Ensure data privacy, security, and compliance in all AI solutions.
• Stay up-to-date with the latest advancements in LLMs, frameworks, and AI tooling.

ABOUT YOU

Qualifications & Experience:

• Strong hands-on experience with LLMs, including fine-tuning, prompt engineering and model integration.
• Proficiency with Python and common AI/ML libraries (PyTorch, TensorFlow, LangChain, etc.).
• Good presentation/communication skills.
• Good written and spoken English (B2 level).
• Good math skills.
• Experience with deep learning.
• MS degree in AI, Machine Learning, Statistics, Computer Science or a related subject.

Would be a plus:

• PhD in AI, Machine Learning, Statistics, Computer Science or related.
• Able to build meaningful visualizations of results.
• Experience with data-mining methods and technologies.
• Previous work with automotive or IoT data analytics.
• Previous work on open source projects.
• Knowledge of machine learning in data analytics, decision making systems, regression, supervised and unsupervised learning.

WE OFFER:

• International and multicultural working environment.
• Supportive regional team and collaborative culture.
• Clear career ladder and opportunities for personal development.
• Opportunities to gain new skills and grow both vertically and horizontally.
• Foreign language skills development (access to corporate platforms and language classes).
• Development benefit with an annual learning budget.
• Balanced paid time off package, including sick leave, public holidays, and vacation days
• Additional seniority-based leave.
• Maternity and paternity leave.
• Bonuses for key life events (childbirth, wedding).
• Comprehensive health and life insurance coverage.
• Monthly sport and wellbeing support. Including team sport events.
• Corporate vehicle purchase discounts (preferential pricing on Stellantis vehicles).
• Access to various external partner benefits and discounts.