Sr. Sinequa Engineer

We are looking for a Sr. Sinequa Engineer with strong enterprise search domain experience using the Sinequa Search Platform. The role involves working on complex search features, including multiple data source integrations, analyzing and indexing data for optimized search solutions, and implementing various search functionalities to fine-tune results. Responsibilities include creating Sinequa connectors, configuring sources, metadata mapping, building UI components, monitoring, troubleshooting, and deploying Sinequa using Azure DevOps. Candidates should have 5+ years of experience, with at least 1-2 years in Sinequa Search, and proficiency in Java/.NET/Angular, RESTful services, and database understanding.

Must Have

• Strong enterprise search domain experience using Sinequa Search Platform
• Experience working on complex search features including multiple data source integrations
• Analyzing and indexing data for optimized search solutions
• Implementing search functionalities (fine-tuning, boosting results, facet filters, sorts, result comparisons)
• Designing effective connection strategy from UI to Search Platform
• Experience in designing, building, and deploying Enterprise Search applications and services
• At least 1-2 years of experience in Sinequa Search
• 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 (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

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

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