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Open nowPosted 478 days ago

Senior Full-Stack AI Engineer – DeepLaw

Jouster7 open roles

Pay
$50,000 – $75,000 a yearly
Where
Turkey
Work mode
Remote
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Your applicationOpen nowSenior Full-Stack AI Engineer – DeepLawJouster · Turkey

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  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 478 days ago

The posting

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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