Job Description We are seeking a hands‑on AI Engineer to build, and deploy
agentic AI solutions, including tool‑using LLM agents, autonomous workflows, and
multi‑agent systems. The candidate should have strong engineering fundamentals,
practical experience with LLM‑based 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 contemporary 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

📌 Gen AI Developer Associate (India)
🏢 Hexaware
📍 India