Generative AI (GPT) Data Engineer

Quantum Technologies. LLC; Chicago (IL); On-site; USD 120,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC in Chicago, IL seeks an experienced Generative AI Data Engineer to design scalable data pipelines, process enterprise data, and integrate data platforms with GPT and other Generative AI models.

You will build ETL/ELT workflows, implement RAG pipelines, prepare embedding data, and work with vector databases and cloud platforms while collaborating with AI/ML engineers and data scientists to deliver robust, governed data solutions.

Qualifications

• Experience building scalable data pipelines for structured and unstructured data.
• Hands-on Python and SQL development in production data environments.
• Strong knowledge of Spark / PySpark and ETL/ELT processes.
• Familiarity with GPT/LLMs and RAG workflows.
• Experience with vector databases and embedding workflows.
• Experience on cloud platforms: AWS, Azure, or GCP.
• Understanding of data warehouses, data lakes, and REST APIs.

Responsibilities

• Design, develop, and maintain scalable data pipelines for structured and unstructured data.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and processing.
• Develop data pipelines to support GPT, LLM, and Generative AI applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Prepare, clean, chunk, and transform documents for embedding generation and indexing.
• Integrate vector databases and embedding models with enterprise data platforms.
• Work with OpenAI GPT models and Azure OpenAI services.
• Develop data workflows using Python, SQL, PySpark, and Spark.
• Implement data quality, validation, governance, and monitoring processes.
• Collaborate with AI/ML engineers, data scientists, and application development teams.

Skills

Data Engineering

ETL/ELT pipelines

Python

SQL

Apache Spark

PySpark

GPT & LLMs

RAG architecture

Vector databases

Embedding models

Semantic search

Cloud platforms

Data warehouses

Data lakes

REST APIs

Tools

Pinecone

Weaviate

FAISS

Azure AI Search

OpenAI GPT

Job description

We are looking for an experienced Generative AI Data Engineer with strong expertise in data engineering, Large Language Models (LLMs), GPT-based solutions, and Retrieval-Augmented Generation (RAG). The candidate will be responsible for building scalable data pipelines, preparing and processing enterprise data, and integrating data platforms with GPT and other Generative AI models.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines for structured and unstructured data.
• Build and optimize ETL/ELT workflows for data ingestion, transformation, and processing.
• Develop data pipelines to support GPT, LLM, and Generative AI applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Prepare, clean, chunk, and transform documents for embedding generation and indexing.
• Integrate vector databases and embedding models with enterprise data platforms.
• Work with OpenAI GPT models and Azure OpenAI services.
• Develop data workflows using Python, SQL, PySpark, and Spark.
• Implement data quality, validation, governance, and monitoring processes.
• Collaborate with AI/ML engineers, data scientists, and application development teams.

Required Skills:

• Strong experience in Data Engineering and ETL/ELT pipelines.
• Hands-on experience with Python and SQL.
• Experience with Apache Spark / PySpark.
• Knowledge of GPT, LLMs, and Generative AI concepts.
• Hands-on experience with RAG architecture.
• Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search.
• Knowledge of embeddings, document chunking, and semantic search.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Experience with data warehouses and data lakes.
• Understanding of REST APIs and data integration.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.