Gen-AI Engineer

Own the end-to-end Gen AI technology stack for Johnson Electric. Design, build and govern reusable toolchains, unlock current use-cases and establish DevOps and MLOps best practices that can scale.

Key Responsibilities
Architecture and Strategy
Define Gen-AI architecture blueprints, design guidelines, and model-cards aligning with JE data privacy, OT-IT convergence and cost models.
Establish enterprise patterns for RAG, model fine-tuning, agentic workflows, security isolation, and cost governance.
Platform Delivery
Build and operate a reusable Gen-AI platform on Azure (AKS, AzureML, Azure OpenAI) provisioned via IaC (Terraform/Bicep) and managed through DevOps pipelines such as Azure DevOps.
Integrate and orchestrate Gen-AI building blocks – commercial & open-source LLM APIs, MCP tooling, frameworks such as LangChain and LlamaIndex, vector databases, Azure AI Search indexes.
Productionize Current Use Cases
Partner with functional SMEs (quality, maintenance, logistics, R&D;) to transform high-value ideas into production Gen-AI solutions.
Guide teams through the full GenAI application lifecycle: problem framing, data acquisition, prompt and model design, human-in-the-loop validation,



deployment, monitoring, and iterative improvement.
Document reusable patterns and feed lessons learned back into the platform backlog to accelerate subsequent use-case onboarding.

Qualifications
5+ years in Data / AI engineering, 2+ years specifically building or productizing Gen-AI / LLM solutions in production.
Deep understanding of LangChain / LlamaIndex (RAG, Agentic workflows).
Expert in prompt engineering, agentic concepts, memory, and tool management
Robust coding skills in Python (FastAPI, asyncio, Pydantic) and at least one typed language (Java, C#, or Go).
Experience in Machine Learning preferably in manufacturing / IoT / edge AI.
Expert in Azure Cloud Services for AI or equivalent.
Hands-on with Docker/Kubernetes, GPU containers, CUDA drivers, and performance profiling.
Proven experience translating business value metrics into technical architecture.
Excellent stakeholder communication; able to navigate between OT, IT, cyber-security, and business teams.
Fluency with DevOps & IaC (Azure DevOps, Terraform / Bicep, GitHub Actions).

📌 Gen Ai Developer Chennai
🏢 Johnson Electric
📍 Chennai