Job Description
DeepLaw is building an intelligent AI agent that reviews contracts — not just for legal risk, but through a business lens . Our goal is to help founders, operators, and legal teams understand what a contract actually means for them: the assumptions it relies on, what trade-offs it reflects, and how it aligns (or conflicts) with their values and goals. We're looking for a Senior Engineer to lead technical development from scratch. You’ll build the agent system, connect the pieces (UI ↔ LLM ↔ data layer), and work closely with the founding PM to define the product and roadmap. 🛠 What You’ll Build The core AI agent pipeline — likely involving prompt orchestration, retrieval (RAG), and fine-tuning UX and tooling for interacting with the agent (basic web UI, annotation, structured contract data) Data + model infrastructure to support iteration and experimentation MVP features: assumption mapping, contract diagnostics, value-aligned feedback, etc. Deployment setup for a working prototype (CI/CD, cloud infra, minimal ops) Help define what “value-aligned” contract review actually means in product and code 🧩 Who You Are 5+ years of experience as a full-stack engineer or AI engineer, ideally at startups Experience with LLMs in production: prompt engineering, LangChain, AutoGen, or similar Familiar with agent-based architectures and RAG pipelines Comfortable spinning up web apps, APIs, vector stores, and fine-tuning loops Bonus: experience with legal tech, working with contracts, or interest in reasoning-focused AI Collaborative, autonomous, and energized by zero-to-one product challenges 🧠 Why This Role Is Unique Work on a real-world application of LLMs that goes beyond summarization Partner directly with a product-minded founder from day one High autonomy, fast decisions, greenfield architecture Influence not just what we build — but how we work and who we hire next 🔧 You’ll Probably Touch… OpenAI, Claude, open-source models LangChain / AutoGen / or a roll-your-own agent
