About the job
Join Fluency: Pioneering the Autonomous Enterprise
At Fluency, we are on a mission to revolutionize enterprise intelligence. As an AI Data Engineer, you will be instrumental in constructing the data infrastructure that underpins our innovative solutions. Forget merely connecting dashboards; we are creating robust pipelines that extract, manage, and organize raw data from real-world workflows at an unprecedented scale.
We seek an AI Data Engineer who will design and implement data systems crucial for our process conformance, productivity metrics, and AI impact assessment across leading Fortune 500 companies.
The Challenge Ahead
You will tackle the complexities of handling unrefined, real-world data signals such as screenshots, OCR text, application metadata, and user behavior events. Your goal will be to convert this unstructured data into actionable, reliable insights that our machine learning systems can utilize effectively, all while adhering to strict cost constraints.
Core responsibilities include:
Designing ingestion pipelines capable of processing millions of daily screenshots and behavioral events.
Developing data validation and quality control systems to prevent model corruption due to data drift.
Creating feature stores and serving infrastructure that balances data freshness with computational costs.
Optimizing storage and querying for time-series behavioral data.
Orchestrating intricate directed acyclic graphs (DAGs) that synchronize OCR, large language model (LLM) enhancements, and downstream aggregations.
This is a groundbreaking role where you will define the playbook for data engineering in a rapidly evolving environment. Backed by top-tier venture capitalists like Accel, we are experiencing rapid growth and engagement with enterprises worldwide.
You will collaborate closely with the founders and our engineering team, tackling technical challenges that encompass data engineering, LLM pipelines, and production systems.

