AI Engineer Needed for Multi-Agent AI Platform, LLM Integration & Production-Scale Automation

We are looking for an experienced AI Engineer to design and develop a complex AI platform with production-level architecture and automation capabilities. This is not a simple chatbot project — we need someone who can build scalable AI systems and solve real business workflows using modern AI technologies. Project Scope: Design and implement multi-agent AI workflows Integrate LLMs (OpenAI, Claude, open-source models) into production systems Build RAG pipelines with vector databases for knowledge retrieval Create AI automation for business processes and decision-making Develop secure APIs and backend services for AI operations Optimize model performance, latency, and cost Implement monitoring, logging, and evaluation pipelines Deploy scalable infrastructure for high availability Requirements: Strong experience with Python and AI frameworks (LangChain, LangGraph, LlamaIndex, etc.) Experience building RAG systems and vector databases (Pinecone, Weaviate, FAISS, Chroma) Experience with LLM orchestration and prompt engineering Strong backend and cloud experience (AWS, GCP, Azure) Knowledge of Docker, Kubernetes, CI/CD, and production deployment Experience building scalable and secure AI applications Ability to write clean, maintainable, and documented code When applying, please include: Similar AI systems you built Architecture examples or case studies Your preferred AI stack and why Estimated timeline and availability Experience scaling AI applications to production users