Senior AI Engineer for Legal Assistance Development
Publicada el 2026-07-15
Descripción de la oferta
Job Title: Senior AI Solutions Engineer (Dify, RAG, n8n, Docker) – Long-Term Technical Partner About Us We are building Insiab AI, a Saudi Arabian company focused on implementing practical AI solutions for SMEs. Our mission is to help companies improve operational efficiency through AI-powered knowledge assistants, workflow automation, and company-specific AI systems. Our first flagship product is an AI Legal Assistant capable of: * General legal consultation * Company legal knowledge retrieval * Contract review * Contract comparison * Contract drafting * Template retrieval * Professional Word/PDF generation * Company-specific legal writing using approved templates and clauses This is the first of several assistants we plan to build, including HR, Procurement, Company Brain, Policy, Training, and Reporting Assistants. Current Progress The business model, service offerings, workflows, and knowledge base structure have already been designed. We have started implementing the Legal Assistant in Dify and are looking for an experienced technical expert to take the implementation to production quality. What We Need We are looking for someone with real production experience, not just prompt engineering. Required experience: * Dify * RAG (Retrieval-Augmented Generation) * Docker & Self-hosting * n8n * OpenAI / Claude / Gemini APIs * Knowledge base design * Prompt engineering * AI workflow design * Document generation (DOCX/PDF) Bonus: * LangChain / LlamaIndex * Azure / AWS * Vector databases (Qdrant, Pinecone, Weaviate, etc.) * Arabic language support Scope of Work You will help us: * Build production-ready Dify workflows * Design and optimize RAG pipelines * Organize and optimize knowledge bases * Improve prompt engineering and guardrails * Build contract review and drafting workflows * Generate Word/PDF documents from templates * Integrate Dify with n8n * Configure secure self-hosted deployments * Design scalable architecture for future AI assistants * Improve security, performance, and reliability Security Requirements The solution should support: * Secure self-hosting * Client isolation * Separate knowledge bases per client * Role-based access * Secure document handling * Production-ready deployment * Cloud deployment (Azure, AWS, DigitalOcean, Hetzner, etc.) Please Answer These Questions 1. Have you built production applications using Dify? 2. Please provide GitHub links, demos, or screenshots. 3. Have you deployed Dify using Docker? 4. Have you built RAG systems? 5. Which vector database would you recommend and why? 6. Have you integrated Dify with n8n? 7. Have you implemented automated DOCX/PDF generation? 8. Which LLM would you recommend for this project and why? 9. How would you securely deploy this solution for multiple SME clients? 10. If you were starting today, would you still choose Dify? If not, what would you use? 11. Have you worked with Arabic documents and RTL workflows? 12. What improvements would you make to our architecture? Long-Term Opportunity This is initially a project-based engagement, but we are looking for someone who can become our long-term technical lead and help build all future Insiab AI products. Important: Please apply only if you have hands-on experience building and deploying production AI assistant systems using Dify or similar platforms. We are looking for practical implementation experience, not basic cha
Skills
- Vector Databases
- RAG
- Docker
- Azure
- AWS
- Recursos Humanos
- Prompt Engineering
- DigitalOcean
- LlamaIndex
- LangChain
- Hetzner
- GitHub
- Árabe
- Microsoft Word
Fuente original: freelancer