Responsibilities ∙Design & implement search solutions : Architect and develop advanced search features using Open Search / 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 : Leveraging LLMs and AI for data enrichment and improved search relevance. ∙API development : Develop and maintain robust, scalable APIs for search using Python (Fast API). ∙Testing & quality assurance : Lead efforts in integration, regression, and performance testing to ensure reliability and accuracy of search features. ∙Dev Ops & 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 Open Search 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 Fast API). ∙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 such as Cursor, Co-pilot,and Windsurf ∙Strong testing background : integration, regression, and performance testing. ∙Dev Ops skills : automation, CI / CD, and cloud infrastructure (AWS preferred). ∙Excellent communication and collaboration skills. ∙Experience with S3, AWS Lambda, and cloud-native architectures. Why you’ll love it : ∙Green-field impact—architect the backbone of our data engine from the ground up. ∙Remote-first flexibility—work anywhere in India and set core hours that suit your life. ∙Small senior team—less bureaucracy, quicker decisions, visible results. ∙A collaborative, innovative, and supportive team culture. Ready to build pipelines that power world’s smartest B2 B sales intelligence platform? Apply now—let’s talk!
Search Engineer • Pune, Maharashtra, India