Gen AI Developer Associate

Job Description We are seeking a handson AI Engineer to build, and deploy agentic AI solutions, including toolusing LLM agents, autonomous workflows, and multiagent systems. The candidate should have strong engineering fundamentals, practical experience with LLMbased development, and a solid understanding of integrating agents with enterprise systems via APIs, RAG pipelines, vector databases, orchestration frameworks, and the Model Context Protocol (MCP). Candidate will collaborate with AI Architect/s, Vertical teams, and domain experts to translate business problems into scalable, production-ready AI automations. The role involves implementing, and operating stateful, multi-agent systems using LangChain and LangGraph, fully integrated within the Azure AI and multi-cloud ecosystem under strict enterprise governance. Must have skills: Agentic AI Frameworks & Platforms - Experience with modern agentic and orchestration frameworks such as: - LangChain, LangGraph, Microsoft Foundry - Databricks AI/BI Genie, Mosaic AI Agent Framework - Snowflake Cortex AI - AWS Bedrock AgentCore - Google Vertex AI Agent Builder, Google ADK - Other comparable Agentic AI frameworks and services Hands-on expertise in: - MCP (Model Context Protocol), A2A (Agent-to-Agent) workflows, Swarm agent architecture pattern - Vector Databases, Vector Search, Embeddings - Long-Term & Short-Term Memory integration - Tool Calling & Function Calling pipelines - LLM integration, tuning, and orchestration - Logging & tracing for agent actions - Containerize and deploy solutions on cloud environments (Azure / AWS / GCP) Good to have skills: - Deep understanding of machine learning, deep learning, Agentic AI Architectures - Knowledge of data governance, security, and compliance in cloud environments