Job Description:
We are looking for Enterprise Search Analysts across all levels with strong 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:
● Creating Sinequa connectors, webapps, nodes, engines, indexers & indexes
● Source and collection configuration and indexing for multiple data sources
● Metadata mapping and relevance boosting in Sinequa
● Creating UI components and retrieving values from Sinequa using REST calls
● Creating various Search components like Autocomplete, Filters, and Advanced Search
● Monitoring the platform – Task Status, Server Status, Index Status, etc.
● Troubleshooting issues using various logs
● Deploying and configuring Sinequa using Microsoft Azure DevOps
Qualifications:
● Experience in designing, building, and deploying Enterprise Search applications and
services, including at least 1–2 years of experience in Sinequa Search
● Strong experience in the Enterprise Search Domain and Search Architecture
● Expertise in Sinequa Search API, Administration, and Indexing API
● Proficiency in core Java / .NET / Angular, Spring, RESTful services
● Solid understanding of structured, semi-structured, and unstructured data sources,
including SQL and NoSQL databases
● Experience in schema design, analyzer, and filter configuration
● Exposure to Azure / AWS DevOps / CVS environments
● BE/BTech/MS/MCA/MTech (CS/Electronics) or an equivalent degree
Nice to Have:
● Experience with other Enterprise Search products (ElasticSearch, Elastic Stack,
MindBreeze, LucidWorks, Coveo, Squirro, etc.)
● Knowledge of Enterprise Content Management or Knowledge Management
architectures (Documentum, Hyland Onbase, Smartlogic, Knowledge Graphs, etc.)
● Sinequa Certification
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