Description

You will deploy, scale, and operate ML and Generative AI systems in cloud-based production environments, with a preference for Azure. You build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines. You implement agentic AI workflows with tool use, leveraging frameworks such as Lang Chain and Lang Graph. You develop reusable infrastructure and orchestration for GenAI systems using Model Context Protocol (MCP) and AI Development Kit (ADK). You design model and agent serving architectures, including APIs, batch inference, and real-time workflows. You establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines. You drive adoption of MLOps/LLM Ops practices, including CI/CD automation, versioning, testing, and lifecycle management. You ensure security, compliance, reliability, and cost optimization of AI services deployed at scale.

Responsibilities

• Deploy and scale GenAI applications in Azure, Databricks, and Azure ML environments.
• Build enterprise-grade RAG applications with embeddings and vector search.
• Implement agentic workflows using Lang Chain, Lang Graph, and Lang Smith.
• Design model serving architectures and real-time inference APIs.
• Operationalize MLOps/LLM Ops with CI/CD, testing, and lifecycle management.

Required Skills

• 8–10 years of experience in ML Engineering, AI Platform Engineering, or Cloud AI Deployment.
• Strong proficiency in Python for production-ready AI/ML services.
• Experience with Lang Chain, Lang Graph, and Lang Smith.
• Knowledge of model serving, monitoring, and observability for AI systems.
• Familiarity with Azure AI, Azure ML, and Databricks.
• Experience with Docker, Kubernetes, and REST APIs.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

Preferred Skills

• Experience with Model Context Protocol (MCP) and AI Development Kit (ADK).
• Proven track record of deploying GenAI in enterprise environments.

Key Skills

Education

Any Graduate