Search Solution Architect - Coveo

ReqRoute,Inc; New Jersey; Remote; USD 120,000 - 180,000; Full time

Job summary

ReqRoute,Inc is seeking a Search Solution Architect with deep Coveo experience to design and implement end-to-end search solutions remotely. The role requires expertise in Coveo indexing, data connectors, and advanced features configuration, including ML models and thesaurus configuration.

The ideal candidate will develop custom extensions using Python, build query pipelines, and integrate third-party components to deliver robust search experiences across various data sources.

Qualifications

• Strong knowledge of Coveo Search or general search domain concepts.
• Experience indexing data sources into Coveo using connectors or custom connectors.
• Familiarity with features configuration: predictive suggestions, facets, stemming, stop words.
• Experience developing extensions using Python API to extract metadata and perform web scraping.

Responsibilities

• Apply Coveo search knowledge to design and implement search solutions.
• Ingest and map data sources into Coveo using appropriate connectors.
• Configure features such as ML models, thesaurus, and stop words.
• Build and customize search pages and result templates.
• Develop custom extensions and use push APIs for connectors.
• Design query pipelines and integrate third-party components as needed.

Skills

Coveo

Other search platforms

Python

Job description

Role: Search Solution Architect - Coveo
Location: Remote

Top Required Skills:
1. Coveo
2. Any other search platform

Job Description/ Responsibilities

• Should have a strong knowledge in Coveo Search or search domain concepts
• should be strong in indexing various data sources into Coveo using Coveo connectors/custom connectors
• Should have a knowledge in features configuration such as predictive suggestion, wildcard search, facets configuration, partial search, thesaurus configuration, stemming enablement, stop words removal
• Should be strong in using push APIs for custom connector development
• Should have a knowledge in developing custom extension using python API to extract metadata from the unstructured content and web scraping to derive structured content from unstructured document/page
• Should have a knowledge in Query pipeline creation for different applications
• Should have some knowledge in features configuration such as ML Model, thesaurus configuration, stop words.
• Should know how Semantic Encoder, RGA Models function.
• Should be strong in using push APIs for custom connector development
• Should have some knowledge in developing custom extensions using python API to extract metadata from unstructured content and web scraping to derive structured content from unstructured document/page
• Should be able to create Search page and configure for different result template
• Should be able to construct Coveo API for search, analytics (search/click/view)
• Should have a good understanding on Coveo OOTB analytics reports and dashboards and Custom dimension creation
• Knowledge in python (Coveo extension component)
• Knowledge in integrating third party components in Coveo.
• Should have experience with LLM, RAG concepts and experience in Gen AI implementations.