AI Data Engineer 3

This role focuses on engineering synthetic data-generation systems and building scalable cloud data pipelines, including validation and evaluation capabilities for LLM and AI workflows. The position is remote and requires availability aligned to PST hours. No C2C.

Responsibilities

• Design, build, and continuously improve synthetic data-generation systems that convert structured inputs plus persona and organizational context into coherent, traceable, and reproducible datasets.
• Develop and operate scalable pipelines and orchestration layers, leveraging concurrency, asynchronous execution, and resilient failure handling to keep workflows dependable.
• Improve data models, storage approaches, and retrieval patterns to support large data volumes and efficient access.
• Create and evolve validation frameworks that specify quality criteria, automate quality checks, and use quantitative analysis to measure and improve data quality.
• Apply cloud engineering practices to deploy, monitor, and support reliable systems while balancing scalability, operational simplicity, and cost.

Requirements

• 5+ years of software or data engineering experience (or equivalent significant experience building systems with coding in languages/frameworks such as Python, Spring Boot, or .NET), including demonstrated ownership through implementation and support.
• Strong backend and systems engineering capabilities, 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, limitations, common failure modes, and how data quality, prompting, evaluation, and model behavior connect in AI-powered systems.
• Practical experience with orchestration and execution patterns such as concurrency, async execution, streaming/event-driven architectures, including recovery from failures.

Technologies

• Python
• Spring Boot
• .NET
• LLMs

Compensation and Work Location

Location: Remote (must work on PST hours).

Pay range: $70/hr 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 After Waiting Period

Upon completion of the waiting period, consultants are eligible for the benefits listed above.