AI Data Engineer 3

Job Title:  AI Data Engineer 3
Location:  Remote ( PST timezone candidate preferred )
Salary Range:  $70/hr to $75/hr on W2 

Introduction

Join a forward-looking team passionate about building innovative technology and creating delightful experiences where AI transforms product capabilities. This role involves collaborating with designers, product partners, engineers, strategists, and writers to design and build modern experiences that make intelligent systems feel clear, trustworthy, and human.

Required Skills & Qualifications

• 5 years of software or data engineering experience, or equivalent significant experience building systems with coding in languages & frameworks including, but not limited to, Python, Spring Boot, .NET.
• Strong backend programming and systems engineering skills, including designing maintainable services, modular components, APIs, and automated tests.
• Experience with Python.
• Experience integrating LLMs through AI platforms, frameworks, and APIs, including building or evaluating production-oriented AI workflows.
• Deep experience designing, building, and operating data generation, ETL, and distributed data-processing workflows, including creating, scaling, and maintaining cloud-based pipelines.
• Strong working understanding of LLMs, including their capabilities, limitations, common failure modes, and the role of data quality, prompting, evaluation, and model behavior in AI-powered systems.
• Prior work experience with the clients 
• Applicants must be able to work directly for Artech on W2.

Preferred Skills & Qualifications

• Experience with Python.
• Experience integrating LLMs through AI platforms, frameworks, and APIs, including building or evaluating production-oriented AI workflows.
• Experience with distributed processing, streaming or event-driven systems, and workflow orchestration tools—such as Apache Spark, Kafka, or equivalent technologies.

Day-to-Day Responsibilities

• Design, build, and evolve synthetic data-generation systems, developing scalable, maintainable workflows that translate structured inputs into coherent, traceable, and reproducible datasets.
• Build and operate scalable pipelines and orchestration, applying concurrency, asynchronous execution, and resilient failure handling where appropriate.
• Collaborate with engineers, researchers, designers, and product partners to translate evolving requirements into reliable systems.

Company Benefits & Culture

• Opportunity to work at the intersection of AI, synthetic data, backend engineering and UX/product experimentation.
• Work that directly enables the exploration of future M365 Copilot experiences.
• Engage in model-forward prototyping ambitions, rather than routine pipeline maintenance.

For immediate consideration please click APPLY to begin the screening process with Alex.