Applied Research AI Engineer

As an Applied Research AI Engineer, you will help turn the latest advances in AI into practical, scalable solutions for our customers, sitting at the intersection of research and engineering.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, Natural Language Processing, or a related quantitative field.
• Strong hands-on experience in applied AI, machine learning, NLP, or generative AI, ideally in both experimentation and implementation.
• Excellent Python skills and experience with modern ML and LLM frameworks such as PyTorch, Hugging Face, LangGraph, LangChain, or similar tooling.
• Solid understanding of transformer models, embeddings, fine-tuning, prompt engineering, and evaluation methodologies.
• Experience designing experiments and interpreting results in a rigorous, pragmatic way.
• Ability to move from research concepts to working prototypes and production-oriented solutions.
• Strong understanding of software engineering fundamentals, data structures, algorithms, and version-controlled development workflows.
• Familiarity with cloud platforms and AI services such as Azure.
• Strong communication skills and the ability to explain complex technical ideas to both technical and non-technical stakeholders.
• A proactive and curious mindset: you like exploring new ideas, but you also know how to focus on what works in practice.

Benefits

• A rewarding salary package that includes additional perks like a company car and fuel card or a mobility budget
• Comprehensive hospitalization
• Group insurance
• Top-tier laptop and smartphone