Posted:3 days ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

AboutKaromi

ManageArtworks(A flagship product brought to you byKaromi, 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 todetermineplacement 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)
  • Proficiencyin

    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 andrendering

    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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