About the role
Clarity, an AI startup focused on customer experience, is hiring a Senior Data Engineer to sit at the heart of its AI pipeline. The role centers on extending, scaling, and monitoring hundreds of integrations, owning new connections end to end, and keeping complex AI infrastructure reliable and responsive. You would also host and monitor NLP models and LLMs for real-time and batch inference, and build robust monitoring systems.
The position calls for strong Python skills with production services and third-party APIs, solid SQL, ETL, and data modeling experience, and practical ML knowledge covering classification, clustering, time series forecasting, and anomaly detection. Deep familiarity with Docker, Git, cloud networking, and cloud security is expected, with Kubernetes a plus, alongside AI infrastructure on AWS and GCP such as Sagemaker, Vertex, Triton, and GPU computing. Airbyte experience is a significant bonus.
Highlights
- Fully remote from anywhere in the world with flexible core hours
- Ownership of hundreds of data integrations and AI pipeline infrastructure
- Hands-on work hosting and monitoring NLP models and LLMs
- Stock options in an early-stage, fast-growing startup
This recap is dataskew's editorial summary, not the company's copy.