{"@context":"https://schema.org","@type":"JobPosting","title":"Senior AI Engineer","description":"

Roles and Responsibilities :

Utilize existing Knowledge Catalog APIs to discover data assets, metadata, and context.
Build agents to enhance catalog content, including entities, descriptions, business-glossary terms, taxonomy, and relationships.
Monitor and improve data quality of the context layer by detecting anomalies, drift, and inconsistencies.
Design and apply an LLM-as-a-judge layer to validate agent outputs and catalog enrichments.
Develop semantic-resolution and natural-language-to-context services for agent-mediated queries.
Define ML pipelines for entity resolution, semantic matching, and automated ontology/catalog enrichment.

Job Requirements:

Strong experience in machine learning, Python, vector database, Langgraph, and MCP.
At least 7 years of experience in data science or ML engineering.
Hands-on experience with GCP Vertex AI, BigQuery, and ML pipeline orchestration.
Experience with LLM-as-a-judge/evaluation, semantic search, and NLP/NLU.
Proficient in Python and graph/query languages.
Experience working with knowledge graphs, ontologies, and metadata enrichment.

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