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Chief Search Engineer
beBeeSearchNadiad, Gujarat, India4 days ago
Job descriptionDesign and implement search solutions, including custom analysers, tokenisers, and scoring algorithms. Create and maintain index templates, mappings, and lifecycle policies to ensure data integrity, performance, and scalability. Build and optimise custom query builders and search pipelines tailored to complex business requirements. Leverage LLMs and AI for data enrichment and improved search relevance. Develop and maintain robust, scalable APIs for search using Python (FastAPI). Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. Automate deployment and management of search infrastructure, including index templates and search pipelines. Work closely with data engineers and product teams to deliver high-quality search experiences. 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 (AWS preferred). Excellent communication and collaboration skills. Experience with S3, AWS Lambda, and cloud-native architectures.
Job Overview
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- We're seeking a talented Search Solutions Architect to design and develop advanced search features using OpenSearch / Elasticsearch.
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Chief Engineer • Nadiad, Gujarat, India
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