Overview
AI Automation Engineer – IT Jobs in Umm al-Quwain City at GULF CRAFT INC LLC
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 – while supporting 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
1. AI Agent Engineering & System Architecture
- 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.
2. Business Process Automation & Workflow Development
- 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.
3. Retrieval Engineering (RAG)
- 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.
4. Data Engineering & Integration
- Clean, integrate and validate data from ERP, production and data-warehouse environments; build ETL pipelines, data mapping and quality checks feeding AI initiatives.
5. Document & Email Automation
- 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.
6. Reliability, Evaluation & Observability
- 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.
7. Production Deployment
- Deploy containerized services via CI/CD to Kubernetes behind an application gateway, with centralized monitoring, secrets management and asynchronous messaging.
8. Security & Safety
- Defend agents against prompt injection with permission boundaries, input validation and output filters; enforce least-privilege access and full audit trails per AI governance and standard compliance policies.
9. AI Project Coordination, Research & Enablement
- Gather and document AI use-case requirements; support UAT execution and issue management through go-live.
- Track emerging AI technologies and propose POC and pilot projects.
- Support employee training in responsible AI usage and prepare guidance and onboarding documentation.
Required Qualifications & Skills
- Bachelor’s degree in Computer Science, Software Engineering, IT, AI/ML or related discipline.
- 5+ years in software engineering, automation or system integration, including 2+ years building LLM-based agentic systems in production.
- Hands-on experience with agentic frameworks (LangChain, LangGraph, Microsoft Agent Framework or comparable) and LLM APIs (Azure OpenAI or similar): tool use, structured outputs, streaming, prompt and context engineering.
- Practical experience building RAG pipelines with vector databases (pgvector, FAISS, Azure AI Search or similar).
- Hands-on experience with Power Automate and Copilot Studio, and integrating enterprise applications through REST APIs, JSON, webhooks and MCP.
- Strong Python; frontend development with React (Vite or similar tooling) for agent-facing user interfaces; Solid SQL and ETL / data pipeline development.
- Experience with Microsoft Azure services (AKS, Functions, Logic Apps, Service Bus, Key Vault, Azure OpenAI / AI Foundry) and containerized production deployment (Docker, Kubernetes, CI/CD) strongly preferred.
- Applied ML fundamentals — forecasting, classification, optimization, recommender systems — including statistical validation and anomaly detection on transactional business data is a strong plus.
- Understanding of business workflows, approvals, financial controls and exception handling; strong communication skills in English.
Preferred
Power Automate Desktop · Microsoft Copilot Studio. Microsoft Graph API · OCR / document intelligence · Agent evaluation tooling (LangSmith, Langfuse, Azure Monitor or custom tracing) · Git, Azure DevOps, CI/CD · Power BI dashboards · Experience in Supply chain, Finance, manufacturing, engineering, or project-based industries · Experience working with external vendors · Certifications (Azure AI-102, PL-500/PL-600).
Ability to commute/relocate:
- Umm al-Quwain City: Reliably commute or planning to relocate before starting work (Preferred)
Experience:
- Software Engineering : 5 years (Required)
- LLM-Based Agentic Systems: 2 years (Required)
Work Location: In person
Title: AI Automation Engineer – IT
Company: GULF CRAFT INC LLC
Location: Umm al-Quwain City
