Junior AI Engineer (NLP & RAG)

About the role

PwC Luxembourg is hiring a Junior AI Engineer (m/f/d) within its Data Innovation team. The role focuses on Natural Language Processing (NLP) and basic knowledge of Retrieval-Augmented Generation (RAG), and involves helping build and structure an internal AI Services Catalog while working closely with product and engineering teams to design and integrate practical AI-powered solutions.

Key responsibilities

• Assist in developing a structured catalog of AI services and define roadmaps for adoption.
• Work with AI product managers and business teams to align AI initiatives with organizational goals.
• Collaborate with data scientists, data engineers, developers and product managers to integrate AI solutions into existing technologies.
• Develop and test proof-of-concepts to validate AI use cases.
• Package and expose AI capabilities through APIs or cloud-native services.
• Build and fine-tune NLP pipelines and Gen-AI services using LLMs and retrieval-based architectures (RAG).
• Stay up to date with advances in AI, NLP and LLM ecosystems (new RAG architectures, open-source models, vector stores, cloud-native AI tools).

Required profile

• Bachelor's or master's degree in computer science, AI/ML or a related technical field.
• Some experience or coursework in building NLP applications.
• Basic understanding of RAG pipelines and vector databases.
• Willingness to learn and explore prompt engineering.

Required skills

• Cloud services, especially Azure with Azure OpenAI and Azure Cognitive Search.
• Python and ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain and LlamaIndex.
• Basic knowledge of RAG pipelines and vector databases.