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Junior AI Engineer

Printerpix
Dubai, UAE
Full-time
Entry
Onsite
Discovered 1 months ago
PythonSQLAgentic AI architecturesMulti-agent systemsLLM APIsJSON

Full Job Posting

Role Summary

Junior AI Engineer (Marketing) supporting the development, maintenance, and implementation of Agentic AI workflows.

Entry-to-junior-level, full-time role based in Dubai.

The role supports AI capabilities that power marketing intelligence and automation.

About the Company

The company applies Agentic AI architectures, LLM API integrations, and Model Context Protocol to marketing.

The focus is on intelligent, autonomous systems and AI workflows that improve how brands engage with audiences.

What You Will Build

  • Contribute to Agentic AI workflows for personalized marketing campaigns across email, social, and digital advertising.
  • Support automation for content generation, audience segmentation, and real-time bid optimization.
  • Build and maintain RAG systems with vector databases for marketing intelligence.
  • Learn and work with Model Context Protocol implementations across marketing data sources.
  • Write and maintain data pipelines that feed real-time marketing data into AI models.

First 90 Days

  • In the first 30 days, learn the marketing technology stack, data pipelines, and AI workflows while assisting with an LLM API prototype.
  • In the first 60 days, implement and test modules of an Agentic AI workflow using LangGraph and vector databases under technical guidance.
  • In the first 90 days, contribute to an end-to-end AI workflow deployment, monitor performance, and troubleshoot bugs.

What We Are Looking For

  • Have 1–2 years of practical experience, including strong academic projects or internships, with Python, data operations, and foundational AI integrations.
  • Understand Agentic AI architectures, multi-agent concepts, and automated workflows.
  • Have strong Python and SQL foundations for scripting, data manipulation, querying, and API integrations.
  • Have experience with LLM APIs, JSON payloads, machine learning principles, and statistical analysis.
  • Have exposure to AI orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
  • Have knowledge or basic practical experience with vector databases and RAG systems.
  • Be able to communicate technical progress clearly and collaborate with marketing stakeholders.

Nice to Have

  • Experience with AWS, Azure, or GCP is advantageous.
  • Familiarity with Git workflows, version control, and basic CI/CD is advantageous.
  • Interest in digital advertising metrics, Google Ads, or performance marketing is advantageous.
  • Experience in a fast-paced environment with initiative and adaptability is advantageous.

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