Information Retrieval Specialist

1 week ago

Nellore, Andhra Pradesh, India beBeesearch Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Search Engineer

We are seeking a highly skilled Search Engineer to join our team. The ideal candidate will have extensive experience with Elasticsearch or OpenSearch in production environments and a deep understanding of search concepts, including analyzers, tokenizers, relevance tuning, custom scoring, and query DSL.

  • Design and implement search solutions using OpenSearch/Elasticsearch, including custom analyzers, tokenizers, and scoring algorithms.
  • Index and template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
  • Query pipeline development: Build and optimize custom query builders and search pipelines tailored to complex business requirements.
  • Ai/Ml/Llm powered search: Leverage LLMs and AI for data enrichment and improved search relevance.
  • Api development: Develop and maintain robust, scalable APIs for search using Python (FastAPI).
  • Testing and quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
  • Devops and automation: Automate deployment and management of search infrastructure, including index templates and search pipelines.
  • Collaboration: Work closely with data engineers and product teams to deliver high-quality search experiences.

Requirements:

  • 5+ years experience with Elasticsearch or OpenSearch in production environments.
  • Experience with Ai/llm-based search experiences such as RAG, learning to rank, and query understanding.
  • Expert level expertise in Python, with experience building APIs (preferably FastAPI).
  • Deep understanding of search concepts: analyzers, tokenizers, relevance tuning, custom scoring, and query DSL.
  • Experience with index template management, lifecycle policies, and large-scale data modeling.
  • Proficiency in designing and optimizing search pipelines and custom query builders.
  • Must have practical hands-on experience developing software using Ai-assisted tools and workflows.
  • Strong testing background: integration, regression, and performance testing.
  • DevOps skills: automation, Ci/Cd, and cloud infrastructure (AWS preferred).
  • Excellent communication and collaboration skills.
  • Experience with S3, Aws Lambda, and cloud-native architectures.

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