AI ML Engineer

Lead the design development and deployment of enterprise scale Generative AI solutions and applications

Develop AIpowered applications using Azure OpenAI Azure AI Foundry Copilot Studio and related AI services

Build and optimize RAG Retrieval Augmented Generation solutions using vector databases and enterprise knowledge sources

Design and implement AI agents and multiagent workflows using LangChain LangGraph Semantic Kernel or AutoGen

Collaborate with architects product owners and business stakeholders to deliver AIdriven business outcomes

Develop scalable APIs microservices and backend integrations for GenAI applications

Lead prompt engineering model tuning and evaluation activities to improve AI response quality and accuracy

Implement LLMOps practices including model monitoring observability performance tuning and governance

Ensure adherence to Responsible AI security compliance and data privacy standards

Mentor and guide developers on AI development best practices coding standards and solution design

Troubleshoot complex production issues and optimize AI workloads for performance and cost efficiency

Integrate GenAI solutions with enterprise platforms such as Microsoft 365 ServiceNow Salesforce and SAP

Stay current with advancements in LLMs Agentic AI multimodal AI and emerging AI frameworks

Contribute to technical proposal development PoCs innovation initiatives and architecture reviews

7 years in software development 3 years in GenAI Python Azure Cloud Azure OpenAI AI Foundry LangChain LangGraph Vector Databases RAG REST APIs Docker Kubernetes Git and CICD

Mandatory Skills : Generative AI Evaluation