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?

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