# AI Data Engineer (Generative AI & Scalable Data Pipelines)

> Pakistan Single Window · Pakistan (Remote) · — · Posted 2026-07-23

**Workplace:** remote

**Department:** Data Management office

## Description

-   Build and optimize ETL pipelines for large-scale AI applications, integrating APIs, web scraping, and real-time data processing.
-   Develop and maintain scalable AI data infrastructure using PySpark, Pandas, SQL, and cloud services (Azure, AWS, GCP).
-   Implement retrieval-augmented generation (RAG) pipelines using FAISS, ChromaDB, and Pinecone for AI-driven insights.
-   Deploy and monitor AI applications using FastAPI, Streamlit, Docker, for real-time performance.
-   Work with cross-functional teams to ensure data security, compliance, and AI model reliability in production environments.

## Requirements

-   Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
-   Atleast 2-4 years of experience in data engineering, AI/ML, or cloud-based AI infrastructure.
-   Expertise in Python, PySpark, and SQL for data transformation and large-scale processing.
-   Experience with cloud platforms (AWS, Azure, GCP) for AI model deployment and data pipeline automation.
-   Hands-on experience with vector databases (FAISS, ChromaDB, Pinecone) for efficient data retrieval.
-   Proficiency in containerization and orchestration tools like Docker and Kubernetes.
-   Strong understanding of retrieval-augmented generation (RAG) and real-time AI model deployment.
-   Knowledge of API development and AI service integration using FastAPI and Streamlit/Dash.
-   Ability to optimize AI-driven automation processes and ensure model efficiency.
-   Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities.

## Apply

[Apply at Pakistan Single Window](https://apply.workable.com/pakistan-single-window/j/E9293FA9FB/apply)

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