Senior AI Engineer
FieldguideFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should have 8+ years of experience building and shipping AI/ML systems with proven Staff-level scope and cross-team impact. Expertise in Python and Spark is required, along with strong experience in Databricks/AWS/Azure, including Delta, MLflow, and Jobs/Workflows. Hands-on experience with LLM production use cases such as RAG, evaluations/safety, serving, tracing, and cost/performance tradeoffs is essential. Solid understanding of system design, CI/CD, containers, and monitoring is also necessary.
The Staff AI Engineer will architect and ship AI/ML and LLM systems on Databricks, including data pipelines from raw data to serving and monitoring. This role involves productionizing LLM use cases, leading design reviews, mentoring engineers, and driving multi-quarter initiatives with cross-functional teams. The engineer will own 0 to 1 charters, manage data governance and access controls, and ensure system reliability and compliance.
Data analysis and research services provider
YipitData provides data analysis and research services by converting large amounts of raw data from various sources into clear and actionable insights. These insights help clients, primarily investors and corporate entities, understand market trends and company performance. YipitData operates on a subscription model, offering clients regular datasets and reports that include updates on various sectors such as autos, marketplaces, and logistics. Each subscription provides tailored information with three layers of coverage to meet specific client needs. The company differentiates itself by offering deep dives into topics, continuous tracking of metrics, and data integration best practices, ensuring clients have access to relevant and detailed information. The goal of YipitData is to empower clients to make informed decisions based on comprehensive data analysis.