Software Architect for Advanced Search Features

5 days ago

Jamnagar, Gujarat, India beBeeSearch Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Search Solutions Developer

This is a unique opportunity to design and implement advanced search features using OpenSearch/Elasticsearch.

About the Role:

  • We are seeking an experienced professional with expertise in Elasticsearch or OpenSearch in production environments.
  • The ideal candidate should have experience with AI/LLM-based search experiences such as RAG, learning to rank, and query understanding.
  • A strong understanding of search concepts including analyzers, tokenizers, relevance tuning, custom scoring, and query DSL is essential.

Key Responsibilities:

  1. Design and implement advanced search features, including custom analyzers, tokenizers, and scoring algorithms.
  2. Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability.
  3. Build and optimize custom query builders and search pipelines tailored to complex business requirements.
  4. Leverage Large Language Models (LLMs) for data enrichment and improved search relevance.
  5. Develop robust, scalable APIs for search using Python (FastAPI).
  6. Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features.
  7. 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, including 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.
  • 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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