Design Technologist, eShop

Amazon is hiring a Design Technologist, eShop in Gurugram, India. Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Generative AI, LLMs and Inference Platforms.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Design technologist developing and scaling generative AI workflows and pipelines for visual content production.

Generative AILLMsInference Platforms

prompt-engineeringfine-tuning

Help shape the future of AI-powered creative production at Amazon. As a GenAI Design Technologist, you will pioneer the intersection of Generative AI and creative production - shipping tools and workflows that transform how product images and videos are created at scale.

We are operationalizing Generative AI for visual content creation. This team partners with world-class artists and scientists to push what's possible with image generation, video synthesis, and multimodal AI systems. You will work at the rare intersection where creative craft meets technical depth.

In this role, you will:

• Develop, optimize, and scale Generative AI workflows and pipelines for production-grade visual content
• Act as the bridge between creative teams and AI/ML engineering - translating artistic intent into scalable technical solutions
• Build automation that removes bottlenecks and enables content creators to focus on what they do best
• Evaluate emerging foundational models and translate the latest research breakthroughs into production-ready capabilities
• Partner with engineers and scientists on prompt engineering frameworks and centralized GenAI tooling

This role is ideal for someone who's equal parts technologist and creative problem solver - someone who can evaluate output quality with a trained eye while optimizing the pipeline that produces it. You will ship work that directly impacts the shopping experience for hundreds of millions of customers worldwide.

Key job responsibilities
• Develop, test, and optimize Generative AI workflows and pipelines for visual content production using inference platforms and services
• Act as a bridge between creative teams and AI/ML engineering - translating production needs into technical requirements and delivering working solutions
• Build and maintain automation scripts and tools that resolve workflow bottlenecks, improve content quality, and increase creator productivity
• Evaluate AI-generated output for visual quality, brand consistency, and production readiness - applying both technical metrics and creative judgment
• Support the fine-tuning, testing, and evaluation of foundational models and LLMs for image generation, video synthesis, and multimodal content creation
• Design and implement prompt engineering frameworks that enable consistent, high-quality results at scale across content types
• Collaborate with engineers and scientists to contribute to a centralized suite of GenAI tools used across visual content workflows
• Research and prototype emerging Generative AI capabilities - assessing production viability and recommending adoption paths to creative leadership
• Develop batch processing solutions and content pipelines that enable teams to generate, review, and publish AI-created assets efficiently
• Document workflows, best practices, and technical specifications to enable partner teams to adopt generative workflows independently
• Participate in cross-functional reviews to align AI tooling development with evolving creative standards and business requirements

A day in the life
In this role, you will move between creative and technical work. You might review AI-generated image outputs -tuning prompts and parameters to improve quality and consistency. Then shift to prototyping a workflow with a creative lead and ML engineer, translating a creative brief into a scalable technical solution. You could also be evaluating a new foundational model for production readiness or helping a partner team adopt your automation pipeline. Throughout it all, you will collaborate closely with creative directors, applied scientists, and content producers - solving the gap between what AI can technically generate and what meets the visual quality bar at scale.

About the team
Our team builds how hundreds of millions of customers see products - through photography, video, CGI, and increasingly through Generative AI. We are a global network of creatives, technologists, and scientists unified by one mission: make every product look its best, at extraordinary scale. Our culture values builders who are curious, collaborative, and comfortable navigating ambiguity. We ship fast, learn from what breaks, and believe the best creative work happens when art and technology push each other forward.

Basic qualifications

- Bachelor's degree or above in computer science or equivalent
- 3+ years of experience in front-end technology, engineering, or UX prototyping
- Coding samples in front-end programming languages
- Available online portfolio demonstrating relevant work
- Experience with web, mobile web, or mobile app front-end development
- Experience with UI design for complex workflows and for end users
- Experience building scripts, tooling, and automation for large-scale computing environments
- Experience with prompt engineering techniques for content generation

Preferred qualifications

- Knowledge of technologies such as JavaScript/Node.js, HTML/CSS, Responsive/Adaptive Design
- Knowledge of Python, JavaScript, and source control (Git)
- Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience as a mentor, tech lead, or leading an engineering team
- Knowledge of video production, live streaming technologies, studio workflows, edit and post-production techniques, production calendars and staffing

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Design Technologist, eShop at Amazon rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Design Technologist, eShop is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in IN, HR, Gurugram.
The job was posted on August 27, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringFine-tuningGenerative AILLMsInference Platforms

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What are the limits of Generative AI that you've run into, and how did you work around them?
What's a project where you used LLMs hands-on?
Walk me through how you've used Inference Platforms in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt engineering, Fine-tuning, Generative AI, LLMs, and Inference Platforms. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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