Roles and Responsibilities:
Design and develop scalable Gen-AI/LLM solutions, including RAG pipelines and agentic workflows.
Build and optimize AI applications using LangChain, LlamaIndex, and Python.
Define AI architecture, reusable frameworks, and best practices for MLOps and DevOps.
Deploy, monitor, and optimize AI models using Azure Cloud, Docker, and Kubernetes.
Collaborate with IT, OT, cybersecurity, and business teams to translate business needs into technical solutions.
Drive end-to-end AI solution delivery, performance optimization, and production readiness.

Job Requirements:
10+ years of experience in Data/AI Engineering, including 5+ years building production-grade Gen-AI/LLM solutions.
Solid expertise in LangChain, LlamaIndex, RAG, agentic workflows,



and prompt engineering.
Proficiency in Python, FastAPI, asyncio, Pydantic, and at least one typed language (Java, C#, or Go).
Expertise in Azure AI services or equivalent cloud platforms.
Hands-on experience with Machine Learning, Docker, Kubernetes, GPU optimization, and CUDA.
Solid knowledge of MLOps, DevOps, CI/CD, Infrastructure as Code, Azure DevOps, and Terraform/Bicep.
Excellent solution architecture, problem-solving, and stakeholder management skills.
Experience in manufacturing, IoT, or Edge AI is preferred

📌 Gen Ai Architect Chennai (India)
🏢 Johnson Electric
📍 India