ENTERPRISE SEARCH ENGINEER
Zensar Technologies
Under the guidance of the ICT Solutions Coordinator, the Enterprise Search Engineer will collaborate closely with ICT teams to deliver a robust and intelligent search platform. This role involves designing and implementing data ingestion pipelines, building hybrid search capabilities, and creating RAG pipelines for accurate and relevant content retrieval and generation. The engineer will also be responsible for ensuring the platform's performance, scalability, and security, as well as contributing to the overall success of the project through effective problem-solving, teamwork, and organization skills.
- Design and implement data ingestion pipelines for structured, semi-structured, and unstructured content from various enterprise sources.
- Develop hybrid search capabilities combining keyword and semantic vector search with metadata filtering and contextual retrieval.
- Build RAG pipelines to retrieve relevant enterprise content and generate grounded answers using large language models.
- Implement semantic chunking strategies to improve retrieval accuracy in RAG applications.
- Design ingestion pipelines to convert enterprise documents into structured Markdown, preserving layout and metadata.
- Ensure the search index is accurate and current by tracking document versions, access permissions, and deletion events.
- Implement advanced retrieval techniques, security controls, and re-ranking pipelines to enhance relevance and user access.
- Collaborate with ICT teams to deliver a well-engineered and functioning enterprise search solution.
- Stay updated with the latest technologies and trends in enterprise search, AI, and large language models.
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