AI Architect

Job description

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