AI Data Engineer: Vector Pipelines, RAG & MLOps
vbeyondScottsdale (AZ)
AI Data Engineer: Vector Pipelines, RAG & MLOps
Posted 2 days ago
vbeyondScottsdale (AZ)
Data Warehousing SpecialistsComputing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
SENIORITY
Senior
About the role
VBeyond Corporation is seeking an experienced AI Data Engineer to design and maintain data infrastructure for AI/ML initiatives. The role focuses on high-quality, governed data for traditional analytics and AI applications.
You will build pipelines for ingestion, cleaning, and transformation of structured and unstructured data, including documents, PDFs, transcripts, and logs. Collaboration with ML/DS teams is key.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.