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.

- Strong 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)
🏢 Johnson Electric
📍 Chennai