Advanced Search Engineer

5 days ago

Gulbarga, Karnataka, India beBeeSearch Full time ₹ 15,00,000 - ₹ 25,00,000
Search Solutions Architect

We are seeking a skilled Search Solutions Architect to join our data engine. As a key member of our team, you will be responsible for designing and implementing advanced search solutions using OpenSearch/Elasticsearch.

Key Responsibilities:
  • Design & implement search solutions: Architect and develop custom search features using OpenSearch/Elasticsearch, including analysers, tokenisers, and scoring algorithms.
  • Index & template management: Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
  • Query pipeline development: Build and optimise custom query builders and search pipelines tailored to complex business requirements.
  • Ai/ml/lmm powered search: Leveraging LLMs and AI for data enrichment and improved search relevance.
  • Api development: Develop and maintain robust, scalable APIs for search using Python (FastAPI).
  • Testing & quality assurance: Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
  • Devops & automation: Automate deployment and management of search infrastructure, including index templates and search pipelines.
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: analysers, tokenisers, relevance tuning, custom scoring, and query DSL.
  • Experience with index template management, lifecycle policies, and large-scale data modelling.
  • Proficiency in designing and optimising 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.

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