AI Architect
Summary
Designs and builds enterprise-grade AI systems using generative models, LLMs, and orchestration frameworks like LangChain and LangGraph.
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.