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