AI Architect

This is a remote position. We are seeking a highly experienced AI Architect with deep expertise in Generative AI, Large Language Models (LLMs), and modern AI orchestration frameworks such asLangChainandLangGraph. The ideal candidate will have strong hands-on experience designing enterprise-grade AI solutions, building scalable RAG (Retrieval-Augmented Generation) pipelines, integrating MCP servers using Python, and developing production-ready AI applications leveraging modern LLM ecosystems. Requirements • 12–15+ years of overall IT experience with strong architecture background. • Extensive hands-on experience with Python development. • Strong expertise in LangChain and LangGraph frameworks. • Experience integrating MCP servers using Python. • Deep understanding of RAG architecture and LLM application development. • Hands-on experience with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS. • Experience working with OpenAI, Anthropic, Gemini, Llama, or other LLM ecosystems. • Strong understanding of prompt engineering and AI orchestration patterns. • Experience developing REST APIs and microservices. • Familiarity with Docker, Kubernetes, and cloud platforms such as AWS, Azure, or GCP. • Experience with AI monitoring, evaluation, and optimization techniques. • Strong knowledge of scalable distributed systems and enterprise architecture. Originally posted on Himalayas