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naukri

AI Automation Engineer

GULF CRAFT INC COMPANY L.L.C
Dubai, UAE
Senior
Yesterday
Azure AI FoundryLangChainLangGraphMicrosoft Copilot StudioPower AutomateRAG
Free

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Azure AI FoundryLangChainLangGraph
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About the Role

  • We are seeking a highly skilled engineer to deliver production grade AI agents and business automations — systems engineered for reliability, scale and sustained business value in live enterprise environments.
  • You will build agents and workflows that take real actions across enterprise applications querying data, interpreting documents and emails, executing multi system workflows, and preparing business transactions.
  • Support the company's AI and analytics roadmap throughout the AI lifecycle: preparing and integrating enterprise data, evaluating AI vendors, tools and solutions, ensuring AI governance compliance, and building internal awareness of emerging AI technologies.

Key Responsibilities

  • Design, develop and deploy autonomous and multi agent systems with planning, reasoning, tool use, memory and state management — via agentic frameworks or direct LLM API integrations.
  • Deliver agents across pro code and low code tiers Azure AI Foundry, LangChain and LangGraph and Microsoft Copilot Studio — selecting the right tier per use case.
  • Define strict tool contracts and structured output schemas, integrating agents with enterprise applications via REST APIs and Model Context Protocol (MCP).
  • Orchestrate multi user, role based agentic workflows with review before commit human approval before any write back or dispatch, built as durable, long running processes with persistent state and resumability.
  • Analyze, document and redesign repetitive processes across Finance, Procurement, Sales, Production, Engineering, HR and IT, selecting the right automation approach for each.
  • Design, build and deploy workflows in Power Automate — approvals, notifications, escalations, scheduled and event driven processes triggered via APIs and webhooks.
  • Build Copilot Studio custom agents with actions, topics, knowledge sources and custom connectors to enterprise applications, with error handling and logging built in.
  • Build and optimize Retrieval Augmented Generation pipelines: chunking, embedding selection, hybrid search and re ranking over vector databases. Continuously measure and tune retrieval quality for relevance and precision.
  • Clean, integrate and validate data from ERP, production and data warehouse environments; build ETL pipelines, data mapping and quality checks feeding AI initiatives.
  • Automate extraction and validation of data from business documents and incoming emails using OCR and AI document intelligence, routing low confidence cases for human review.
  • Engineer agents and workflows to mission critical standards retries with backoff, fallbacks and circuit breakers, plus error handling, production monitoring and root cause analysis.
  • Trace every tool call and reasoning step. Run metrics driven test pipelines and dashboards tracking success rates, latency, cost and business benefits.

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