Senior Full-Stack AI Engineer – DeepLaw

DeepLaw is building an intelligent AI agent that reviews contracts — not just for legal risk, but through abusiness lens. Our goal is to help founders, operators, and legal teams understand what a contract actuallymeans 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 aSenior 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 layer

• Pinecone, Weaviate, Postgres, Supabase

• React/Next.js or equivalent for UI

• GCP, AWS, Vercel, or lightweight infra for fast iteration