AI Engineer
Lead end-to-end development of an AI contract‑review agent, integrating UI, LLMs, and data layers. Build prompt orchestration, RAG pipelines, and scalable infrastructure on AWS, while collaborating with product to shape roadmap and deliver business‑centric insights.
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 layer
Pinecone, Weaviate, Postgres, Supabase
React/Next.js or equivalent for UI
GCP, AWS, Vercel, or lightweight infra for fast iteration
Originally posted on Himalayas
Posted June 23, 2026