Data Engineer

Inception42, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development.

Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions.

Beyond its commercial endeavors, Inception is committed to creating positive societal impact.

For more information, please visit www.inception42.ai Overview: We are looking for a Data Engineer who can build scalable data pipelines while also developing intelligent AI solutions using Azure Agent Foundry, OpenAI services, LangChain, Databricks, and modern cloud architectures.

The ideal candidate has strong data engineering foundations combined with hands-on experience designing and deploying enterprise-grade AI systems.

What You’ll Own 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 and maintain 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 across all systems.

Collaborate with data scientists, ML engineers, and product teams to deliver intelligent features.

Support MLOps and DevOps processes including CI/CD, model lifecycle management, and containerized deployments.

What We’re Looking For Bachelor’s in Computer Science, Engineering, Data Science, or related field. 3+ years experience in Data Engineering, AI Engineering, or ML Engineering roles.