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AI Engineer

Nivel no indicadohybridBrisbane, QLD, AU →hace 2 sem.
Stack
azuredata lakehousedatabricksllmsnowflake
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Descripción

VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 100 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Years on from its humble beginnings in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with five offices across four continents.

Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD’s suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.

About the role

VALD is building the world’s largest musculoskeletal database, with over two billion data points and counting. Using this data, we can help practitioners to objectively assess patients’ progress and make more accurate, data-informed treatment decisions. We are looking for someone who has hybrid experience in data engineering and data analysis to help shape the future of the VALD Data Lakehouse.

In this role, you will Build agentic capabilities: design and ship production agent workflows, including orchestration, tool calling, MCP servers, skills and context management. Ground AI in data: build retrieval, search and data-querying capabilities across our data platforms, including Snowflake Cortex and Databricks. Own quality in production: design and evolve evaluation, monitor quality, feedback, c

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