AI/Machine Learning Engineer – NLP & Agentic AI (LLMs)

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.

Description

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.

Working within the Innovation Team, you will collaborate with product managers, software engineers, and domain experts to identify high-impact opportunities for AI-driven innovation. A key focus will be developing agentic AI prototypes demonstrating advanced NLP capabilities across enterprise products.

Key Responsibilities

• 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.

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.

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.