- Location
- Chennai, Tamil Nadu, India
- Job type
- Full-time
Required skills
- Python
- Angular
- CLI
- CMS
- communication skills
- CSS
- enterprise SaaS
- HTML
- Java
- JavaScript
- machine learning
- NodeJS
- React
- SaaS
- Salesforce
- TypeScript
- ServiceNow
- REST APIs
About the role
Automotive Robotics Incorporated
Website:
arigs.com
Job details:
- Experience: 4-6 yrs
- Location: Chennai
- Job Summary:
- • 5+ years of experience developing integrations with search platforms, PIM solutions, or other related platforms • Bachelor’s/Master’s degree in Engineering • Excellent communication skills • Experience in software development, specifically in search deployments or enterprise SaaS. • Design and deploy Coveo-powered intelligent search, semantic search, and generative AI conversational experiences. • Strong background in cloud-native systems, headless search patterns, and data connectors/push APIs. Coveo CLI, Push APIs (NodeJS, Python, Java), and REST APIs for custom content ingestion. • Integrate Coveo Cloud with enterprise systems, commerce platforms, and CMS environments like Salesforce, Sitecore, or AEM. • Configure indexing, manage query pipelines, and apply machine learning models to improve relevance tuning. • Build custom search interfaces utilizing Coveo Headless, React, Angular, JavaScript, and TypeScript. • Working proficiency in JavaScript, TypeScript, Python, and modern HTML/CSS. • Query pipelines, machine learning models, semantic search, and large language model (LLM) grounding. Hands-on experience with the Coveo Cloud Platform and ecosystem integrations. • Basic understanding of machine learning algorithms and data modelling for search.
- Roles and Responsibilities
- • Designing and building responsive, user-friendly search interfaces using the Coveo Atomic library, Coveo JavaScript Search Framework, or headless frameworks like Quantic. • Configuring secure content indexing by setting up standard and custom Coveo Connectors, managing web scrapers, and mapping metadata fields. • Creating and configuring query pipelines, managing thesaurus terms, setting up stop words, and implementing ranking expressions to optimize search results. • Integrating Coveo’s search capabilities seamlessly into external enterprise ecosystems such as Salesforce, ServiceNow, or custom web applications. • Writing custom Indexing Pipeline Extensions (IPE) using Python or JavaScript to clean, transform, and enrich data before it enters the search index.
- Required Skills
- • 5+ years of experience developing integrations with search platforms, PIM solutions, or other related platforms • Bachelor’s/Master’s degree in Engineering • Excellent communication skills • Experience in software development, specifically in search deployments or enterprise SaaS. • Design and deploy Coveo-powered intelligent search, semantic search, and generative AI conversational experiences. • Strong background in cloud-native systems, headless search patterns, and data connectors/push APIs. Coveo CLI, Push APIs (NodeJS, Python, Java), and REST APIs for custom content ingestion. • Integrate Coveo Cloud with enterprise systems, commerce platforms, and CMS environments like Salesforce, Sitecore, or AEM. • Configure indexing, manage query pipelines, and apply machine learning models to improve relevance tuning. • Build custom search interfaces utilizing Coveo Headless, React, Angular, JavaScript, and TypeScript. • Working proficiency in JavaScript, TypeScript, Python, and modern HTML/CSS. • Query pipelines, machine learning models, semantic search, and large language model (LLM) grounding. Hands-on experience with the Coveo Cloud Platform and ecosystem integrations. • Basic understanding of machine learning algorithms and data modelling for search.
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