We’re building an AI platform for complex litigation, helping legal teams analyze thousands of pages of medical records, timelines, and evidence in minutes.

You’ll architect and build agentic systems that can plan, reason, retrieve, and act across massive document collections. This is a high-ownership role where you’ll work directly with the founders and product team and influence major architectural decisions from day one.

Tech Stack

Python · React · LangGraph · AutoGen · Google ADK · DSPy · Azure/AWS/GCP · MongoDB · Pinecone/Weaviate · LangSmith · Weights & Biases

What You’ll Do

Design and build sophisticated agentic workflows for complex reasoning tasks
Architect production-grade AI systems using frameworks such as LangGraph
Build backend services in Python and user-facing experiences in React
Develop reliable retrieval, reasoning, evaluation, and observability infrastructure
Take features from 0 → 1, from product discovery through production

What We’re Looking For

5+ years of software engineering experience and strong Python skills
Strong experience building and shipping production software
Hands-on experience with LLMs, agents, RAG, or AI-powered applications
Experience with agent orchestration / workflow frameworks such as LangGraph or similar
Experience building evaluation, observability, and reliability systems for AI applications
Comfortable working in an early-stage environment with significant autonomy
Strong product sense and the ability to turn ambiguous problems into working systems

Bonus: Experience in Legal-tech, healthcare, biotech, fintech, or other regulated/high-precision environments.

Production Reasoning Loop · Evaluation Harness · Live Product Feature

Why Join?