Job Description:

We are looking for Enterprise Search Analysts across all levels with robust enterprise search

domain experience using the Sinequa Search Platform. You will be responsible for working on

complex search features that may include multiple data source integrations. Your role will

involve analyzing and indexing data to implement an optimized and readily available search

solution. You will also implement various search functionalities to fine-tune and boost search

results based on business relevance, facet filters, sorts, and result comparisons, while

designing an effective connection strategy from the UI to the Search Platform for a seamless

search experience.

In addition, experience or understanding of RAG (Retrieval-Augmented Generation), LLM

(Large Language Models), ML (Machine Learning), and AI technologies will be considered

a strong plus.

Responsibilities:

â Creating Sinequa connectors, webapps, nodes, engines, indexers & indexes

â Source and collection configuration and indexing for multiple data sources





â Metadata mapping and relevance boosting in Sinequa

â Creating UI components and retrieving values from Sinequa using REST calls

â Creating various Search components like Autocomplete, Filters, and Advanced Search

â Monitoring the platform – Task Status, Server Status, Index Status, etc.

â Troubleshooting issues using various logs

â Deploying and configuring Sinequa using Microsoft Azure DevOps

Qualifications:

â Experience in designing, building, and deploying Enterprise Search applications and

services, including at least 1–2 years of experience in Sinequa Search

â Strong experience in the Enterprise Search Domain and Search Architecture

â Expertise in Sinequa Search API, Administration, and Indexing API

â Proficiency in core Java / .NET / Angular, Spring, RESTful services

â Solid understanding of structured, semi-structured, and unstructured data sources,

including SQL and NoSQL databases

â Experience in schema desi

📌 Sr. Sinequa Engineer (Pune)
🏢 Left Right Mind
📍 Pune