Data Engineer – AI

First.tech Group; Abu Dhabi; On-site; AED 350,000 - 520,000; Full time

Job summary

First.Tech is seeking a Data Engineer to join our AI team and build robust, scalable data pipelines powering Retrieval-Augmented Generation (RAG) systems and LLM applications.

You will collaborate with AI/ML engineers to deploy production-ready data workflows, optimize vector databases, and ensure data quality and freshness.

The role requires about 5 years in AI or data engineering, strong Python and SQL skills, and hands-on experience with ETL/ELT tooling and cloud storage.

Qualifications

• 5 years of relevant experience in AI/software engineering, data engineering, or MLOps
• Strong proficiency in Python and SQL
• Experience with ETL/ELT orchestration tools such as Airflow, Prefect, or Dagster
• Hands-on knowledge of vector databases such as Pinecone, Weaviate, Milvus, or FAISS
• Experience with cloud storage platforms such as AWS S3, Google Cloud Storage, or Azure Blob Storage
• Familiarity with document processing, embeddings workflows, and ANN search

Responsibilities

• Build and maintain data ingestion pipelines for structured and unstructured data.
• Design preprocessing workflows for document chunking, embeddings generation, metadata tagging, and deduplication.
• Manage and optimize vector databases to improve retrieval performance and scalability.
• Integrate data pipelines with LLM frameworks such as LangChain and LlamaIndex.
• Monitor data quality, freshness, and retrieval accuracy.
• Collaborate with AI and ML engineers to deploy and maintain production-ready RAG applications.

Skills

Python

SQL

ETL/ELT

AI/ML collaboration

Education

Bachelor’s or Master’s in CS/SE or related

Tools

Airflow

Prefect

Dagster

Pinecone

Weaviate

Milvus

FAISS

AWS S3

Google Cloud Storage

Azure Blob Storage

Job description

At First.Tech, we’re looking for a Data Engineer to join our Artificial Intelligence team and build robust, scalable data pipelines that power our Retrieval-Augmented Generation (RAG) systems and LLM applications.

In this role, you’ll help ensure our AI solutions have access to reliable, high-quality, and up-to-date information.

What you’ll do:

• Build and maintain data ingestion pipelines for structured and unstructured data.
• Design preprocessing workflows for document chunking, embeddings generation, metadata tagging, and deduplication.
• Manage and optimize vector databases to improve retrieval performance and scalability.
• Integrate data pipelines with LLM frameworks such as LangChain and LlamaIndex.
• Monitor data quality, freshness, and retrieval accuracy.
• Collaborate with AI and ML engineers to deploy and maintain production-ready RAG applications.

What we’re looking for:

• A Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Around 5 years of relevant experience in AI/software engineering, data engineering, or MLOps.
• Strong proficiency in Python and SQL.
• Experience with ETL/ELT orchestration tools such as Airflow, Prefect, or Dagster.
• Hands-on knowledge of vector databases such as Pinecone, Weaviate, Milvus, or FAISS.
• Experience with cloud storage platforms such as AWS S3, Google Cloud Storage, or Azure Blob Storage.
• Familiarity with document processing, embeddings workflows, and approximate nearest-neighbor (ANN) search.

So, what does it really mean to work at First.Tech?

We are building a company where people are empowered to do their best work and grow. Our culture is rooted in ownership, collaboration, and continuous learning.

As part of First Tech, you will be working in an environment that values innovation, speed, and impact, while giving you the opportunity to shape products that directly affect how people experience financial services.

We are an equal opportunity employer and are committed to building a diverse and inclusive team. We welcome people from all backgrounds and encourage you to apply if this role excites you.