AI Data Infrastructure Engineer

Abaka AI is built on one mission: to be the world’s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley—and teams in Paris, Singapore, and Tokyo—we support global partners with fast, reliable, and scalable data solutions.

Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.

 

We’re hiring an AI Data Infrastructure Engineer to build systems that power how large-scale datasets for LLM and multimodal models are discovered, evaluated, and scaled. This is a builder-first engineering role focused on designing LLM-powered agents, automation systems, and data pipelines. You’ll work on problems like:

 

 

 

 

The base salary range for this position is $110,000 - $160,000 USD annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Base pay is one part of the total package provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package including health, dental, vision, PTO, and a flexible work schedule.