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AI Summary
Design and build enterprise-grade AI solutions and scalable RAG pipelines. Develop production-ready AI applications using modern LLM ecosystems and orchestration frameworks.
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.
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