Data AI Engineer with Vector Databases

Agama Solutions • Plano, TX

5d • Onsite

About The Position

We are seeking a Data AI Engineer with expertise in Vector Databases to join our team. This role involves designing and building robust data pipelines, implementing GenAI data architectures, and managing vector databases for embedding storage and similarity search. You will also be responsible for building secure data solutions on AWS, ensuring data quality and compliance, and supporting various data initiatives.

Requirements

• Strong experience in Python and SQL
• Hands-on experience with ETL/ELT and data pipelines
• Experience with Vector Databases
• Experience with GenAI / LLM frameworks (LangChain or LangGraph)
• Experience with Big Data frameworks (Apache Spark, Apache Kafka)
• Workflow orchestration using Apache Airflow
• Experience with data platforms like Databricks or Snowflake
• AWS services: S3, Glue, Redshift

Nice To Haves

• Experience with ML frameworks (Scikit-learn, PyTorch)
• Knowledge of RAG architectures and embedding pipelines
• Experience in financial services / fintech environments

Responsibilities

• Design and build ETL/ELT pipelines and data processing workflows
• Develop batch and real-time data pipelines using modern frameworks
• Work with Python and SQL for data transformation and analytics
• Implement GenAI data architectures, including RAG pipelines and vector indexing
• Manage and optimize Vector Databases for embedding storage and similarity search
• Build secure data solutions on AWS, ensuring data quality and compliance
• Support analytics, reporting, and data modernization initiatives

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed