LLM / NLP Engineer

At Consigli, we’re building technology that transforms how engineering and real estate projects are designed and delivered. We’re now looking for an LLM/NLP Engineer to help develop and integrate cutting-edge natural language technology into our platform.

This role is about taking state-of-the-art NLP and large language model techniques and applying them to real-world problems — turning unstructured text and other forms of data into structured, actionable knowledge.

What You’ll Do

• Design, implement, and deploy NLP/LLM based solutions into production

• Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems

• Work end-to-end on ML solutions: from data preparation and model training to evaluation, deployment, and monitoring

• Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data

• Apply advanced machine learning techniques (Transformers, CNNs, RNNs) to tasks such as Named Entity Recognition, Information Extraction, and Entity Linking

• Collaborate with product teams and domain experts to integrate NLP features into our SaaS platform

Must-Have Qualifications

• Master’s degree in Computer Science, Data Science, Computational Linguistics, or related field

• Hands-on experience with NLP techniques for text representation and semantic data extraction

• Proven experience working end-to-end on ML solutions

• Proficiency in Python and ML/NLP frameworks (SpaCy, PyTorch, TensorFlow, Keras)

• Strong understanding of state-of-the-art ML methods including Transformers, CNNs, and RNNs

• Experience solving NLP tasks such as Named Entity Recognition, Information Extraction, and Entity Linking

Preferred Skills

• Experience working with legal or technical documents

• Familiarity with large-scale data pipelines and deployment in cloud environments (we use Azure)

• Knowledge of LLM techniques such as fine-tuning, prompt engineering, context engineering, or retrieval-augmented generation (RAG)

• Strong communication skills and the ability to work in cross-functional teams

Our Hiring Process

• Questionnaire to get a feel for your mindset and priorities

• 15-minute screening call

• Coding case: A hands-on task to assess your problem-solving and technical skills

• In-person meeting with our leadership team — COO, Head of Product, and CTO

• Final cultural fit check with our CEO

Why Join Consigli?

• Work on real-world problems where NLP and LLMs make a measurable impact

• Be part of a team where your work matters, and your ideas become real

• Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards

• Enjoy a dynamic hybrid setup, balancing focus and collaboration

• Contribute to building smarter, more sustainable solutions for the built environment