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2 дня назад

Data Engineer (AI)

Формат работы
hybrid
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): Build scalable data pipelines and intelligent AI solutions using Azure Agent Foundry, OpenAI, LangChain, Databricks, and modern cloud architectures with an accent on RAG pipelines, vector databases, knowledge graphs, and data governance. Focus on optimizing ML workflows, maintaining APIs and data services, and supporting MLOps, DevOps, and containerized deployments.

Location: Abu Dhabi, United Arab Emirates; hybrid work policy

Company

Inception42, a hirify.global company, develops domain-specific and industry-agnostic AI products and applied AI solutions.

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.
  • Optimize ML workflows on Azure Databricks and integrate with Azure Fabric.
  • Ensure data quality, reliability, governance, and compliance while supporting MLOps and DevOps processes.

Requirements

  • Strong proficiency in Python, SQL, PySpark, and ML/AI frameworks.
  • Experience with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, and vector databases.
  • Hands-on experience with Azure Databricks, Azure cloud services, and modern data platforms.
  • Knowledge of big data tools such as Spark, Hadoop, and Flink, plus SQL and NoSQL storage.
  • Experience with REST/GraphQL APIs, Kafka or RabbitMQ, Docker, and Kubernetes.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, plus 3+ years of experience in Data Engineering, AI Engineering, or ML Engineering.

Culture & Benefits

  • Open, diverse, and inclusive environment focused on AI innovation.
  • Structured training, learning, development, and career growth opportunities.
  • Hybrid work policy balancing office and home working.
  • Healthcare, education support, leave benefits, and other remuneration perks.

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