Sinequa Engineer

We are seeking Enterprise Search Analysts with strong experience in the Sinequa Search Platform. The role involves working on complex search features, integrating multiple data sources, and analyzing data for optimized search solutions. You will implement various search functionalities to fine-tune results based on business relevance, facet filters, and result comparisons, while designing a seamless UI to Search Platform connection. Experience with RAG, LLM, ML, and AI technologies is a plus.

Must Have

• Work on complex search features including multiple data source integrations.
• Analyze and index data for optimized search solutions.
• Implement search functionalities to fine-tune and boost search results.
• Design an effective connection strategy from the UI to the Search Platform.
• Create Sinequa connectors, webapps, nodes, engines, indexers & indexes.
• Configure and index sources and collections for multiple data sources.
• Perform metadata mapping and relevance boosting in Sinequa.
• Create UI components and retrieve values from Sinequa using REST calls.
• Create various Search components like Autocomplete, Filters, and Advanced Search.
• Monitor the Sinequa platform (Task Status, Server Status, Index Status).
• Troubleshoot issues using various logs.
• Deploy and configure Sinequa using Microsoft Azure DevOps.
• Design, build, and deploy Enterprise Search applications and services.
• Possess strong experience in Enterprise Search Domain and Search Architecture.
• Demonstrate expertise in Sinequa Search API, Administration, and Indexing API.
• Be proficient in core Java / .NET / Angular, Spring, RESTful services.
• Understand structured, semi-structured, and unstructured data sources (SQL, NoSQL).
• Have experience in schema design, analyzer, and filter configuration.
• Have exposure to Azure / AWS DevOps / CVS environments.

Good to Have

• Experience or understanding of RAG (Retrieval-Augmented Generation)
• Experience or understanding of LLM (Large Language Models)
• Experience or understanding of ML (Machine Learning)
• Experience or understanding of AI technologies
• 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

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.

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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

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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

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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