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 as
LangChain
and
LangGraph
. 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.