We are looking for a senior AI consultant with deep experience in Retrieval Augmented Generation (RAG) systems to advise on architecture, backend setup, and implementation strategies.
This is a consultation role focused on design, planning, and architecture implementation guidance.
Scope of Consultation & Deliverables:
• Design and validate RAG system architecture, including backend services, APIs, and integration points
• Advise on document ingestion pipelines, chunking strategies, and embedding approaches
• Recommend vector database selection and implementation best practices for performance, scalability, and reliability
• Guide on LLM selection, prompting strategy, and context management
• Provide strategies to reduce hallucinations and improve answer reliability
• Suggest backend patterns for orchestration, caching, scaling, logging, and monitoring
• Recommend deployment, security, and data privacy best practices for production systems
• Advise on cost, latency, and scalability optimizations
• Review evaluation metrics for RAG quality and accuracy
Deliverables:
• Complete system architecture diagrams and documentation
• Backend setup guidance with production-ready patterns
• Ready-to-work boilerplate for RAG pipeline implementation
Ideal Consultant Profile:
• Strong background in Python-based AI systems and backend architecture
• Proven experience designing and architecting RAG pipelines in production
• Hands-on experience with LangChain, LlamaIndex, or custom RAG frameworks
• Deep understanding of embeddings, vector search, retrieval strategies, and backend integrations
• Experience consulting on real-world AI systems with actionable implementation guidance
• Able to communicate clearly and provide concrete recommendations for architecture, backend setup, and boilerplate
Engagement Details:
• Consultation via calls, written feedback, architecture review sessions, and implementation guidance
• Short-term engagement with potential follow-up sessions
• Flexible hours
Budget:
Open to hourly or fixed consultation packages
How to Apply:
In your proposal, briefly explain:
• One RAG system you have consulted on or architected
• Key trade-offs you helped a team decide on
• Your approach for backend architecture, RAG reliability, and boilerplate setup
Those with new profiles looking to get some traction on the platform are encouraged to apply
Apply Now
Apply Now