AI Production Specialist

1 day ago

Nagpur, Maharashtra, India beBeePrompt Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
AI Prompt Engineer Job Description

We seek a skilled AI Prompt Engineer with deep expertise in designing, templatizing, and optimizing prompts for large-scale e-commerce content production.

This role requires a unique blend of creative thinking, technical fluency with Large Language Models (LLMs), and workflow automation skills to ensure consistency and accuracy of generated outputs across 1000s of SKUs.

  • Key Responsibilities:
  • Design, test, and templatize prompts for LLMs and image generation models tailored to e-commerce (flat lay → model conversion, lifestyle composites, category-specific templates).
  • Build scalable prompt libraries covering Adult Fashion, Kids wear, and home categories.
  • Continuously optimize prompts to balance accuracy, realism, and brand guidelines.
  • Required Skills and Qualifications:
  • Proven experience as a Prompt Engineer / AI Content Specialist, ideally in e-commerce or retail.
  • Strong knowledge of LLMs (OpenAI, Anthropic, open-source frameworks) and prompt optimization best practices.
  • Hands-on expertise with n8n, building automation recipes for large-scale content workflows.
  • Prior experience with AI-generated images for fashion (adult & kids) and home categories.
  • Familiarity with generative AI tools (Stable Diffusion, Midjourney, DALL·E, Flux, Runway, etc.).
  • Understanding of e-commerce content needs: SKU coverage, multiple angles, lifestyle vs. studio, copywriting integration.
  • Strong analytical mindset with ability to measure quality, cost, and performance metrics.
  • Creative problem-solver with a passion for AI-driven transformation in retail content.
  • Benefits:
  • Ensure scalability, efficiency, and consistency in AI-driven content production.
  • Collaborate with content, design, and studio teams to define acceptance criteria, quality scores, and guardrails.
  • Monitor production performance to deliver faster turnaround times (TAT) and reduced cost per product.
  • Others:
  • Partner with creative, e-commerce, and technology teams to deploy AI solutions into production.
  • Train content teams on using AI-first tools and workflows effectively.
  • Contribute to building the AI-first content production vision for the organization.

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