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Job Type

Full Time

Job Description

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:

Location:


Overview

AI-powered packaging artwork design platform


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

  • Strong programming skills in 

    Python

     
  • Knowledge of 

    LLMs

     and 

    prompt engineering

     for reasoning tasks 
  • Experience in 

    Computer Vision

     and 

    Natural Language Processing (NLP)

     
  • Experience with 

    rule-based heuristics

     or constraint-based design optimization 
  • Understanding of 

    packaging artwork workflows

     and regulated content placement (food, pharma, or FMCG) 
  • Proficiency in 

    PyTorch/TensorFlow

     for custom model development 
  • Exposure to 

    Flask/FastAPI

     integration and API-based architectures 
  • Experience with 

    vector/geometry libraries

     (e.g., Shapely, OpenCV) for layout computation 
  • Strong debugging and rapid prototyping capabilities 


Good-to-Have Skills

  • Familiarity with 

    Generative AI for design automation

     (text-to-image or layout synthesis) 
  • Background in 

    graphic design principles

    , typography, and visual hierarchy 
  • Knowledge of 

    SVG/PDF parsing and rendering

     for artwork files 


Outcome

  • A functional 

    AI-powered layout automation engine

     capable of generating packaging artworks with minimal manual intervention 
  • Integration of 

    LLM reasoning + heuristic rules + vision models

     for intelligent design placement 
  • Improved 

    design turnaround time

     and 

    regulatory compliance consistency

     
  • Technical proof-of-concepts for 

    automated artwork design and layout generation

     
  • Recommendations for 

    scaling the system into a full design automation product

     


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