AI DataOps Engineer-Cupertino, CA-Onsite

Our client, a leading tech company, is looking to hire a AI Data Engineer in Menlo Park, CA. Pay Rate Range:$95/Hr to $100/Hr, depending on experience Description: Generative AI models are only as good as the data they consume. Unlike traditional data engineering, building data pipelines for generative AI require orchestrating ML model invocations (content understanding classifiers, embedding models, LLM-based cleaners) alongside standard SQL-based transformations, all at billion-row scale. T

Summary: Generative AI models are only as good as the data they consume. Unlike traditional data engineering, building data pipelines for generative AI requires orchestrating ML model invocations (content understanding classifiers, embedding models, LLM-based cleaners) alongside standard SQL-based transformations, all at billion-row scale.This role sits at the intersection of Data Engineering and ML Systems. The Senior AI Data Engineer will own end-to-end data pipelines that don't just move and

Role: AI Application Engineer Location: Santa Clara, CA (3 days onsite in a week) Duration: 13 months contract Required Skills: Minimum 13+ years of overall IT experience. 47 years of software engineering experience with at least 2 years focused on production LLM application development Expert-level experience with Python for AI/ML application development and async programming Strong expertise in prompt engineering including system prompts, few-shot prompting, and instruction tuning 3

Request ID: 70756-1 Start/End Dates: 7/13/2026 - 12/31/2026 Tax Work Location: US - CA - Menlo Park (105201) Job Title: Data Analytics & Engineering - Data Engineer Job Description: Summary Generative AI models are only as good as the data they consume. Unlike traditional data engineering, building data pipelines for generative AI requires orchestrating ML model invocations (content understanding classifiers, embedding models, LLM-based cleaners) alongside standard SQL-based transformations, a