Quark Software Inc.
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Sahibzada Ajit Singh Nagar · On-site · 8-11 Yrs · Aug 20
Enterprise Software & Network Solutions · 201 to 500 Employees · Grand Rapids, US
We started with the mission to reinvent how content creators and creative professionals bring their vision to life. We were the first to establish the design software marketplace by creating QuarkXPress, the smart solution for every creative professional to leverage the most modern and efficient design software in the market. We achieved a dominant position in the desktop publishing market and became the standard for desktop publishing. After achieving that position, we started working on another solution – Content Enablement. Today, Quark Content Enablement is the only enterprise SaaS platform designed to fulfil all your Digital Publishing, Content Automation, Content Management, Marketing Enablement and Sales Enablement needs. Whether creating regulatory documentation, policies and procedures, investment research reports or interactive marketing communications, the world’s most recognized brands are modernizing their content strategies and processes with Quark solutions.
Hiring: Engineering
What employees say
+ work life balance good seniors
− stripend for intern are very low
More reviews on the company profile.
Interview experience · Internship
In the first interview round went well, they asked questions related to Java, DSA, and also some aptitude questions. In the next Interview round, they asked questions related to git, distributed systems, and about your p
Average difficulty · Chandigarh · 28 reports
More interview insightsJob description
Overview
Why Quark Software:At Quark, weve been revolutionizing graphic design, digital publishing, and content automation since 1981.
Responsibilities
- Design and implement AI pipelines for converting unstructured documents to structured formats (e.g., XML, JSON, proprietary schemas).
- Develop and fine-tune Conversational AI agents (chatbots, virtual assistants) for various use cases using LLMs or open-source models.Train, evaluate, and deploy domain-specific AI/ML/NLP models.
- Collaborate with product managers, domain experts, and backend/frontend engineers to integrate AI capabilities into production systems.
- Leverage frameworks like LangChain, Spring AI, or RAG pipelines for building intelligent systems.
- Build tools and infrastructure to enable scalable and reusable AI model development.
- Conduct thorough data preprocessing, feature engineering, and evaluation of model performance.Enable Bring Your Own Model/AI capabilities for customers by designing pluggable AI interfaces.
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