AI Content Optimiser

2 weeks ago

Pushkar, Rajasthan, India beBeePromptEngineer Full time ₹ 80,00,000 - ₹ 1,23,45,678
Job Title: AI Prompt Engineer

We are seeking a skilled prompt engineer to join our organization at this exciting time. This role requires expertise in designing, templatising, and optimising prompts for large-scale e-commerce content production across multiple categories.

Key Responsibilities
  • Prompt Engineering & Templatisation
  • Design, test, and templatise prompts for Large Language Models (LLMs) and image generation models tailored to e-commerce, covering topics such as flat lay to model conversion, lifestyle composites, and category-specific templates.
  • Build scalable prompt libraries covering Adult Fashion, Kids wear, and Home categories.
  • Continuously optimise prompts to balance accuracy, realism, and brand guidelines.
  • Ai Model Utilisation
  • Stay up-to-date with emerging LLMs (OpenAi, Anthropic, open source) and image generation models (Flux, SDXL, Midjourney, etc.).
  • Experiment with closed-source and open-source models, evaluating trade-offs for quality, turnaround time, and cost.
  • Conduct A/B testing to measure CTR uplift, engagement, and content conversion rates.
  • Workflow Automation (n8n & Beyond)
  • Develop and maintain n8n workflows/recipes for large-scale Ai image and copy production.
  • Automate repeatable tasks such as multi-angle e-com images, lifestyle scene generation, model replacement, and product background adaptation.
  • Integrate LLMs, image models, and internal systems into streamlined production workflows.
  • Quality & Scale
  • Ensure consistency and accuracy of generated outputs across 1000s of SKUs.
  • Collaborate with content, design, and studio teams to define acceptance criteria, quality scores, and guardrails.
  • Monitor production performance to deliver faster turnaround times and reduced cost per product.
  • Cross-functional Collaboration
  • 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 organisation.

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