Remote Engineer:in

lifecycle policies to ensure data integrity, performance, and scalability. ∙ AI/ML/LLM powered search : Leveraging LLMs and AI for data enrichment and improved Develop and maintain robust, scalable APIs for search using Python (FastAPI). ∙ Testing & quality assurance : Lead efforts in integration, regression, and performance testing DevOps & automation : Automate deployment and management of search infrastructure, Collaboration : 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 Expert level expertise in Python , with experience building APIs (preferably FastAPI). ∙ Experience with index template management , lifecycle policies, and large-scale data Must have practical hands-on experience developing software using AI-assisted tools and Strong testing background : integration, regression, and performance testing. ∙ DevOps skills : automation, CI/CD, and cloud infrastructure (AWS preferred). ∙ Experience with S3, AWS Lambda, and cloud-native architectures. 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. ∙Ready to build pipelines that power world’s smartest B2B sales intelligence platform?