Data-Driven Search Specialist

1 week ago

Thoothukudi, Tamil Nadu, India beBeeSearch Full time ₹ 20,00,000 - ₹ 25,00,000

Advanced Search Solutions Developer

About the Role

We are seeking an expert Search Engineer to design and implement cutting-edge search solutions using OpenSearch/Elasticsearch.

The ideal candidate will be responsible for architecting and developing advanced search features, including custom analysers, tokenisers, and scoring algorithms.

This role is perfect for individuals with a deep understanding of search concepts, such as relevance tuning, custom scoring, and query DSL.

  • Design & Implement Search Solutions: Develop advanced search features using OpenSearch/Elasticsearch, including custom 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/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 & 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.
  • 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.
  • Ai/Llm Based Search Experience: 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.
  • Hands-On Experience: Developing software using AI-assisted tools and workflows such as Cursor, Co-pilot, and Windsurf.
  • 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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