Job Summary

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 robust 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.

Responsibilities
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.





Required Skills
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
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 pipelines
LLM integration, tuning, and orchestration
Logging tracing for agent actions
Containerize and deploy solutions on cloud settings (Azure / AWS / GCP)

Valuable to Have Skills
Deep understanding of machine learning, deep learning, Agentic AI Architectures
Knowledge of data governance, security, and compliance in cloud environments

Disclaimer: This job posting & Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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