AI Data Engineer 3

The AI Data Engineer 3 role at Experis focuses on building and operating synthetic data-generation capabilities and scalable cloud data pipelines. The position includes validation frameworks and evaluation of LLM and AI workflows, with remote availability aligned to PST working hours (NO C2C).

Key Responsibilities

• Design, build, and continuously improve synthetic data-generation systems that transform structured inputs, persona context, and organizational context into coherent, traceable, and reproducible datasets.
• Develop and run scalable pipelines and orchestration workflows, using concurrency, asynchronous execution, and resilient failure-handling to maintain reliable execution.
• Create and enhance data models, storage methods, and retrieval patterns to support large data volumes and efficient access.
• Build and evolve validation frameworks that define quality criteria, automate checks, and use quantitative analysis to measure and improve data quality.
• Apply cloud engineering practices to deploy, monitor, and support dependable systems, balancing scalability, operational simplicity, and cost.

Required Qualifications

• 5+ years of software or data engineering experience, or equivalent significant experience building systems through coding in languages and frameworks such as Python, Spring Boot, or .NET, with demonstrated ownership through implementation and support.
• Strong backend and systems engineering skills, including designing maintainable services, modular components, APIs, and automated tests.
• Deep hands-on experience designing, building, and operating data generation, ETL, and distributed data-processing workflows in cloud-based pipelines.
• Strong working understanding of LLMs, including capabilities and limitations, common failure modes, and how data quality, prompting, evaluation, and model behavior interact in AI-powered systems.
• Practical experience with orchestration and execution patterns, including concurrency, async execution, streaming and event-driven architectures, and the ability to recover from failures.

Technology Stack

• Python
• Spring Boot
• .NET
• LLMs

Compensation and Location

Location: Remote (required to work on PST hours).

Pay range: $70 per hour on Experis W2 with Benefits ( NO C2C ).

Benefits

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

Eligibility for Benefits After Waiting Period

Upon completion of the waiting period, consultants are eligible for the following benefits: Medical and Prescription Drug Plans, Dental Plan, Vision Plan, Health Savings Account, Health Flexible Spending Account, Dependent Care Flexible Spending Account, Supplemental Life Insurance, Short Term and Long Term Disability Insurance, Business Travel Insurance, 401(k), Plus Match, and Weekly Pay.