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Data Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Data Engineer (AI) (Azure/Databricks): Building scalable data pipelines, AI agents, RAG systems, and data services for enterprise-grade intelligent solutions with an accent on Azure, OpenAI, LangChain, and modern data architectures. Focus on designing vector and knowledge graph integrations, optimizing ML workflows, and supporting reliable MLOps, CI/CD, and containerized deployments.

Location: Abu Dhabi, United Arab Emirates

Company

Inception42, a hirify.global company, develops AI-powered domain-specific and industry-agnostic products for practical deployment across industries and large-scale initiatives.

What you will do

  • Develop and deploy AI agents using Azure Agent Foundry, OpenAI, LangChain, and N8N.
  • Build RAG pipelines, embeddings, vector database integrations, and knowledge graph solutions.
  • Design and maintain scalable data pipelines, ETL/ELT workflows, and data architectures.
  • Build APIs and data services supporting AI and analytics workloads, and optimize ML workflows on Azure Databricks and Azure Fabric.
  • Ensure data quality, reliability, governance, and compliance across systems.
  • Collaborate with data scientists, ML engineers, and product teams while supporting MLOps and DevOps processes.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in Data Engineering, AI Engineering, or ML Engineering.
  • Strong proficiency in Python, SQL, PySpark, and ML/AI frameworks.
  • Experience with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, vector databases, Azure Databricks, and Azure cloud services.
  • Knowledge of big data tools, modern SQL and NoSQL storage, data modeling, ETL, and data quality practices.
  • Experience with REST or GraphQL APIs, Kafka or RabbitMQ, Docker, Kubernetes, and cross-functional collaboration.

Culture & Benefits

  • Open, diverse, and inclusive environment with a global vision.
  • Structured training programs and opportunities for learning, development, and career growth.
  • Work on high-tech projects and industry-focused AI innovations.
  • Competitive remuneration package with healthcare, education support, leave benefits, and additional perks.

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