Job description
 
                         Responsibilities   
∙Design & implement search solutions : Architect and 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 : 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.
 
∙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.
 
∙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 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.
 
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 B2B sales intelligence platform?
Apply   
now—let’s talk!  
 
                    
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