AI Intern

About Karomi

ManageArtworks (A flagship product brought to you by Karomi, a leading Enterprise SaaS provider) enables 4000 leading Global and Indian brands. We offer everything to get artwork projects going & manage every step of the packaging and artwork process. Companies reach markets faster with our end-end packaging & artwork management system while achieving 100% compliance.

Project Duration :  2 Months

Location :  Chennai – On Site

Overview

We are enhancing an  AI-powered packaging artwork design platform  for FMCG and pharmaceutical clients that automates the creation of compliant, visually appealing packaging designs. The role focuses on building an  intelligent layout engine  that uses  Large Language Models (LLMs) , domain-specific design heuristics, layout intelligence, and visual reasoning to determine optimal placement of text, symbols, and imagery. This system aims to streamline creative workflows while ensuring regulatory compliance and delivering high-quality, automated artwork generation.

Key Deliverables

• Design and implement an  AI-driven artwork layout engine  capable of interpreting textual and visual input to determine placement of design elements.
• Build  LLM-based modules  that understand packaging copy content, regulatory zones, and design intent.
• Develop  rule-based and heuristic models  for spacing, hierarchy, and alignment of packaging components (e.g., ingredients, logos, nutrition tables, symbols).
• Integrate  vision and layout analysis models  (e.g., LayoutLM, Detectron2, or similar architectures) to map artwork panels and guide composition.
• Combine  text-to-layout reasoning  (LLM) with  visual placement algorithms  for adaptive artwork generation.
• Implement and integrate the layout engine into existing  Flask / FastAPI  microservices for seamless deployment in production.
• Build evaluation pipelines for layout quality, visual balance, and compliance metrics.
• Document model architecture, placement logic, heuristics, and integration strategy for both technical and product teams.

Desired Candidate Profile

Must-Have Skills

Good-to-Have Skills

Outcome