NLP Engineer

Breva AI

Remote · $100k – $130k / year · Full-time · Posted 5 months ago

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About the role

Our data pipelines are growing faster than our team. We process over 4 million legal documents a month for enterprise clients across Europe, and our NLP stack is the backbone of everything we deliver. We need an engineer who can push our text extraction and classification systems to the next level. Right now, we're migrating from rule-based parsers to transformer-based models fine-tuned on domain-specific corpora. You'll work alongside two senior engineers and a linguist to build, evaluate, and ship these models. We use Hugging Face for training, LangChain for orchestration, and RAG pipelines for context-aware document Q&A. The codebase is clean, the deployments are automated, and the problems are genuinely hard. If you enjoy the craft of making language models work reliably on messy real-world text, you'll thrive here.

Fully remote.

Responsibilities

Build and fine-tune transformer models for legal document classification
Design RAG pipelines for context-aware document retrieval
Collaborate with the linguistics team on annotation strategy and data quality
You'll spend most of your time iterating on model performance and debugging edge cases
Maintain evaluation frameworks to track model accuracy over time