ABOUT THE COMPANY
Our client is an exciting, venture-backed technology company transforming how the world's leading law firms use data and artificial intelligence to make smarter business decisions. Founded in 2023, the company is building a powerful, Azure-based data platform that unifies fragmented legal, operational, and financial information into a single, trusted source of intelligence.
With ambitious growth plans, a rapidly expanding engineering team, and a mission to become the data platform of choice for the world's top law firms, this is an exceptional opportunity to join a company at a pivotal stage of growth. Engineers have the opportunity to shape innovative, greenfield products, influence technical direction, and help define the future of AI in the legal industry.
ABOUT THE ROLE
We are seeking an exceptional Applied AI + NLP Engineer to become a foundational member of a growing AI engineering team. This is a rare opportunity to build groundbreaking AI capabilities from the ground up, working directly with the CTO to transform how law firms interact with and leverage their most valuable asset—their data.
You'll develop sophisticated AI solutions that allow legal professionals to ask complex questions in natural language and receive accurate, actionable insights. You'll also build document intelligence systems that extract valuable information from complex legal documents and transform it into structured, searchable data.
This position is ideal for an experienced engineer who is passionate about LLMs, NLP, agentic AI, and data engineering—and thrives on turning cutting-edge technology into scalable, production-ready applications.
RESPONSIBILITIES
Design and build innovative AI solutions that translate natural language questions into accurate, governed queries and actionable business intelligence.
Develop intelligent AI agents, retrieval-augmented generation (RAG) systems, and orchestration workflows that combine structured data, legal documents, and enterprise knowledge.
Build NLP and document intelligence pipelines that extract legal concepts, contractual obligations, financial terms, and other critical information from complex documents.
Create semantic models, embeddings, retrieval strategies, and advanced search capabilities that improve the accuracy and usefulness of AI-generated insights.
Develop evaluation frameworks, benchmark datasets, and automated testing processes to continuously improve AI performance, reliability, and accuracy.
Leverage technologies including Python, LLMs, SQL, Azure, vector search, and Go/.NET/Node.js to build and deploy scalable AI applications.
Collaborate with Product, Data Engineering, and legal domain experts to transform complex customer requirements into innovative, production-ready AI capabilities.
Help establish the technical direction of the AI platform while continuously exploring emerging technologies, frontier models, and new approaches to applied