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Senior Full-Stack AI Engineer – DeepLaw

Reposted 20 Days Ago
In-Office or Remote
Hiring Remotely in India
Senior level
In-Office or Remote
Hiring Remotely in India
Senior level
Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.
The summary above was generated by AI

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

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