AI/Machine Learning Engineer – NLP & Agentic AI (LLMs)
Employer · CEE Chamber
Software developerApplications developerSystems analystFlexibleFull-timeBudapest
A leading construction technology software company operating in the construction and infrastructure ecosystem is expanding its Innovation Team in Budapest. We are currently looking for a highly skilled Machine Learning Engineer to help develop next-generation AI capabilities that improve how complex infrastructure projects are designed, managed, and maintained. As a Machine Learning Engineer -- NLP & Agentic AI, you will design and build advanced AI systems that leverage natural language understanding and autonomous reasoning capabilities. Your work will focus on transforming research concepts into scalable, production-ready solutions that deliver real-world value for engineering and construction workflows.
Tasks
- Design and deploy NLP and LLM-based systems for tasks such as information extraction, summarization, classification, and question answering.
- Build agentic AI systems capable of reasoning, acting autonomously, and integrating with enterprise software platforms.
- Develop and implement retrieval-augmented generation (RAG) pipelines.
- Translate experimental prototypes into robust, production-grade AI solutions.
- Work cross-functionally with engineering and product teams to identify and deliver innovative AI applications.
- Contribute to the development of a flagship agentic prototype demonstrating advanced NLP capabilities within enterprise products.
Conditions & benefits
Almost full remote, 1 day per week in the office (close to Allee Shopping Mall)Opportunity to work on cutting-edge AI technologies including LLMs and autonomous agent systems.Participation in a high-impact innovation team shaping next-generation enterprise AI solutions.Collaborative and research-driven work environment.Long-term, stable employment in a full-time permanent role.Opportunities for professional growth and involvement in pioneering AI projects.
Requirements
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Strong expertise in NLP and large language models.
- Hands-on experience with tools and frameworks such as PyTorch, Hugging Face, LangChain, and related ML ecosystems.
- Experience with LoRA techniques, prompt engineering, and transformer-based architectures.
- Solid understanding of embeddings, attention mechanisms, and safety considerations in generative AI systems.
- Demonstrated ability to bridge research prototypes and production-grade systems.
- Strong problem-solving mindset with a positive, solution-oriented approach.
- Excellent communication and collaboration skills.