Hybrid Retrieval Jobs
2 open roles mentioning Hybrid Retrieval
Staff Software Engineer, AI Search
Databricks
Databricks is seeking a Staff Engineer for AI Search to play a critical role in building and scaling their next-generation Search product, encompassing Vector Search, Keyword Search, and Search Quality. The role involves driving the design and evolution of a highly-performant, cost-efficient, and developer-friendly Search stack that enables customers to build AI applications with accuracy, speed, and scale. Beyond hands-on contributions, the engineer will help define the long-term vision, mentor senior engineers, collaborate across teams, and lead strategic efforts to expand the technical and business impact of Search at Databricks.
$166k - $225k
Software Engineer, AI Systems (United States)
LandingAI
Haven Safety AI is building an enterprise learning intelligence layer for safety, designed to help high-risk organizations learn faster from incidents and prevent future occurrences. The platform integrates with existing EHS systems to enhance incident investigation, assessment, and learning processes. It leverages current incident evidence, company knowledge, historical cases, and an industry knowledge graph, with specialized AI agents analyzing various data points to produce traceable assessments. This role is a build-and-operate position focused on the AI and LLM engineering layer, connecting the evidence base and knowledge graph to the product experiences used by investigators and safety leaders. The work is technically demanding and operationally critical, serving enterprise customers in regulated, safety-critical industries where precision, traceability, evaluation, and human oversight are paramount.