Design and execute experiments to advance our retrieval-augmented generation (RAG) and multi-step AI pipelines .

Prototype and launch new AI-native product features — working cross-functionally with legal and marketing stakeholders.

Build intelligent, scalable workflows for long-running and procedural AI tasks (e.g., filings, document parsing, compliance checks).

Balance state-of-the-art research with engineering pragmatism — streamlining AI for real-world applications.

Who You Are

2-8+ years of hands-on experience in a software engineering role, ideally at a fast-moving startup or on an AI-driven product.

Proven ability to ship machine learning–powered features at scale — from offline data collection to live product experiments.

Experience with full-stack or backend systems that support multiple product lines.

Bonus: prior exposure to LLMs, vector databases, retrieval systems, or working in regulated domains like ...