Agentic AI Automation Specialist

Identify manual, repetitive processes across departments and assess their automation potential using agentic AI.
Design, build, test, and deploy AI agents that can read documents, extract data, make decisions, and execute multi-step tasks autonomously.
Integrate AI agents with existing business systems (ERP, accounting platforms, email, spreadsheets, CRMs, internal tools) using APIs, MCP connectors, and automation platforms such as Zapier, n8n, or Make.
Build prompts, tools, and guardrails that make agents reliable, safe, and aligned with business rules.
Document workflows, write clear runbooks, and train end users on how to interact with deployed agents.
Monitor agent performance, troubleshoot failures, and continuously improve accuracy, speed, and cost efficiency.
Stay current with the rapidly evolving agentic AI landscape (new models, frameworks, tools) and recommend adoption where it adds clear value.
Collaborate with stakeholders to translate business pain points into automation roadmaps and measurable ROI.

3–5 years of professional experience in automation, AI/ML engineering, software development, or a closely related field.
Hands‑on experience building agents or automated workflows with tools such as Claude (Anthropic), OpenAI, LangChain, LangGraph, n8n, Zapier, Make, or similar.
Strong understanding of LLM prompting, function/tool calling, and the agentic loop (plan, act, observe, iterate).
Practical scripting ability in Python or JavaScript/TypeScript; comfortable working with REST APIs and JSON.
Process-mapping mindset: able to break a messy human process down into clear, automatable steps.
Strong English communication skills (spoken and written).

Experience with MCP (Model Context Protocol) servers and connecting agents to enterprise systems.
Experience automating accounting, finance, or back‑office workflows (e.g., invoicing, reconciliation, reporting).
Familiarity with Arabic-language data processing and OCR for Arabic documents.
Background in RPA tools (UiPath, Automation Anywhere) is a plus.
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

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