AI Engineer

You will build the systems that make this company's product meaningfully useful to lawyers: agents, extraction tools, and controllers that automate repetitive work and reliably execute delegated tasks. At a high level, we are building a Cursor-like experience for legal documents and legal research, where an agent can search, reason over sources, and propose or apply edits while the lawyer stays in control. This is an engineering-first applied AI role. To succeed, you’ll need to understand the full product surface (editor, retrieval, dashboard workflows), so you can spot where an agent should be given control and ship it end-to-end.

What you’ll build:
- Document editing: An agent proposes changes and generates/applies patches to DOCX documents, built for legal reality: multiple collaborators, tracked changes, strict formatting, and high expectations for correctness.
- Search & retrieval: When a lawyer asks “search legislation” or “find similar contracts in our database,” the agent decomposes that into targeted queries, retrieves the right sources, and grounds outputs with citations.
- Deep research workflows: Solving legal problems requires iterative investigation, where agents make progress step by step while keeping their active context focused and manageable.
- Training models: Fine-tuning models becomes a necessity to optimize the above workflows. As internal data matures, the agent can learn from past interactions to become more intelligent.