Senior NLP/LLM Engineer

Employment Type: Full-time

Hybrid is optional.

About Us

We’re building an advanced “attorney assistant” system that leverages cutting-edge Large Language Models (LLMs) for EU law. Our goal is to create an AI-driven platform capable of understanding and referencing legal statutes, court decisions, and other documentation.

We’re looking for a Senior NLP/LLM Engineer who will spearhead the entire process—from ingesting and chunking legal PDFs to fine-tuning large models and deploying retrieval-augmented pipelines. You’ll have direct access to powerful GPU infrastructure, including NVIDIA Spark technology.

Key Responsibilities

• Data Pipeline & Preparation:
• Extract and clean text from PDFs (legal statutes, case law, etc.)
• Chunk documents and manage large-scale text corpora
• Embeddings & Vector Databases:
• Select and implement multilingual embedding models
• Set up and optimize vector databases (FAISS, Chroma, Weaviate, etc.)
• Fine-tune retrieval parameters for best-in-class results
• LLM Fine-Tuning & Inference:
• Perform parameter-efficient fine-tuning (LoRA / PEFT) on specialized legal datasets
• Handle large checkpoints on GPU systems (memory constraints, distributed training as needed)
• RAG Pipeline Development:
• Integrate fine-tuned LLMs with retrieval-augmented generation (RAG) workflows
• Architect end-to-end solutions for legal Q&A and summarization in
• Deployment & MLOps:
• Containerize and deploy the final pipeline (e.g., Docker, FastAPI/Flask)
• Implement continuous improvement, versioning, and updates to legal data
• Collaboration & Knowledge Sharing:
• Work closely with cross-functional teams (developers, product, legal advisors)
• Document progress and mentor junior engineers (if applicable)

Requirements

• 3+ years of hands-on NLP experience (transformer-based models, text processing, etc.)
• Proven track record using Hugging Face Transformers, PyTorch, TensorFlow (or similar)
• Experience with vector embeddings and RAG (retrieval-augmented generation)
• Understanding of LoRA/PEFT or other parameter-efficient fine-tuning methods
• Familiarity with GPU environments (CUDA, performance tuning, multi-GPU usage)
• Strong Python skills (data wrangling, automation scripts, etc.)
• Bonus: Knowledge of Croatian or other Slavic languages; previous work with legal or domain-specific text corpora

What We Offer

• Competitive Compensation: See salary range below
• Challenging Projects: Cutting-edge legal AI in a specialized domain
• Modern Hardware: High-end GPU servers (NVIDIA Spark) for large-scale experimentation
• Flexible Work Arrangements: Remote, hybrid, or in-office
• Growth Opportunities: Chance to lead technical initiatives and define new AI-driven products
• Supportive Environment: A team that values innovation, learning, and collaboration

Salary Range

• 3,000 – 4,500 EUR (net) per month

Depending on experience, scope of responsibilities, and exact skillset. Please apply if you posess the needed skillset.