13 Aug
|
grazitti interactive
|
Delhi
13 Aug
grazitti interactive
Delhi
- Design, develop, and own end-to-end search architecture, including content ingestion, indexing, retrieval, ranking, and query processing.
- Lead the development of next-generation AI search capabilities, including Vector Search, Semantic Search, Hybrid Search, Retrieval-Augmented Generation (RAG), and MCP-based integrations.
- Define and drive the technical roadmap for search and retrieval platforms in collaboration with Product Management and Engineering Leadership.
- Architect, optimize, and maintain large-scale OpenSearch/Elasticsearch clusters to ensure high performance, scalability, reliability, and operational efficiency.
- Build and enhance data pipelines for content ingestion, enrichment, metadata extraction, embedding generation, and indexing.
- Develop search relevance strategies, ranking models, and retrieval mechanisms to improve search quality and user experience.
- Establish engineering best practices around search infrastructure, observability, monitoring, performance tuning, security, and operational excellence.
- Mentor and guide engineers on search technologies,
distributed systems, system design, and AI-powered retrieval architectures.
- Ensure platform SLAs/SLOs for latency, throughput, availability, scalability, and data freshness are consistently met.
- Collaborate with cross-functional teams to integrate search and AI capabilities across multiple enterprise products and applications.
- Evaluate emerging search, AI, and retrieval technologies and drive their adoption where appropriate.
Required Skills & Experience
- Robust hands-on experience with OpenSearch or Elasticsearch in large-scale production environments.
- Deep understanding of Information Retrieval (IR), search relevance, indexing, ranking, query processing, and distributed search architectures.
- Experience designing and implementing Vector Search, Semantic Search, Hybrid Search, and Retrieval-Augmented Generation (RAG) solutions.
- Strong understanding of embeddings, vector datab
📌 OpenSearch Elasticsearch Search Architecture Enterprise Search (Delhi)
🏢 grazitti interactive
📍 Delhi