Search Engineer

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!