Careernet
AI Engineer – Agentic AI Systems
Ajman, UAEPosted yesterday
- Salary
- AED 35k–45k a month· Michael Page
- Job type
- Full time
- Level
- Junior
- Field
- AI & Machine Learning
- Work mode
- On site
About the role
About the job: Position: AI Engineer – Agentic AI Systems Location: Ajman, UAE Ready to build AI that goes beyond conversations and solves real-world business problems? Here’s an opportunity to work on production-grade Agentic AI systems, intelligent automation, and next-generation AI platforms supporting a leading UAE retail and manufacturing group. If you enjoy solving complex engineering challenges, experimenting with emerging AI technologies, and turning ideas into real-world solutions, this role is worth exploring! Key Responsibilities: • Build, maintain, and improve production-grade Agentic AI systems and workflows. • Develop AI-powered solutions for document intelligence, compliance, and operational automation. • Integrate LLMs with APIs, databases, business tools, and customer support workflows. • Debug AI behavior and improve system performance, reliability, and security. • Implement testing, monitoring, and evaluation frameworks for AI systems. • Support AWS infrastructure, CI/CD pipelines, deployments, and production troubleshooting. Qualifications & Skills: • 1–3 years of hands-on experience in AI engineering or software development. • Strong programming fundamentals, debugging, testing, SQL, and version control skills. • Understanding of LLMs, Agentic AI workflows, and tool calling. • Familiarity with frameworks such as LangGraph, OpenAI Agents SDK, or Claude Agent SDK. • Knowledge of AWS, CI/CD, containers, and production environments. • Experience in Document AI, OCR, or document processing is an advantage. • Strong problem-solving skills, ownership, and a passion for learning emerging AI technologies. 📩 Interested candidates, please share your profile at: [email protected] OR apply directly.
Responsibilities
- Build, maintain, and improve production-grade Agentic AI systems and workflows.
- Develop AI-powered solutions for document intelligence, compliance, and operational automation.
- Integrate LLMs with APIs, databases, business tools, and customer support workflows.
- Debug AI behavior and improve system performance, reliability, and security.
- Implement testing, monitoring, and evaluation frameworks for AI systems.
- Support AWS infrastructure, CI/CD pipelines, deployments, and production troubleshooting.
Skills
- programming fundamentals
- debugging
- testing
- SQL
- version control
- LLMs
- Agentic AI workflows
- tool calling
- LangGraph
- OpenAI Agents SDK
- Claude Agent SDK
- AWS
- CI/CD
- containers
- production environments
- Document AI
- OCR
- document processing
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