As a Full-Stack Engineer at one of the world's leading jewelry brands, you will play a critical role in crafting intuitive, high-quality user experiences that bring advanced AI capabilities to life. Your primary focus is the frontend, building polished, performant interfaces, while your hands-on backend experience enables you to contribute across the full stack and integrate AI features

seamlessly into product experiences.

We're seeking someone with excellent written and spoken communication skills who combines strong

technical craft with a pragmatic approach to shipping high-quality software. You thrive in fastpaced environments, enjoy solving complex engineering problems, and are passionate aboutturning innovation into production-ready tools. Join us to help shape the future of intelligentapplications in a collaborative, forward-thinking, and impact-driven team.

• Design and develop responsive, user-facing interfaces that surface AI/ML capabilities, contributing to backend services where needed.

• Collaborate with cross-functional teams to productize AI solutions using Azure.

• Build and manage CI/CD pipelines for deployment, testing, and monitoring of AIenabled applications.

• Leverage Azure services (Azure Functions, Azure App Services, Azure ML, Cosmos DB, etc.) to support scalable, secure, and resilient systems.

• Ensure performance, availability, and maintainability of solutions in production.

• Participate in code reviews and architecture discussions to enforce engineering best practices.

• Stay current with industry trends and contribute to continuous improvement of development processes.

• Partner with data scientists, machine learning engineers, and MLOps to translate AI model outputs into polished, production-ready product features.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field.

• 3-6 years of experience as a Full-Stack Engineer.

• Experience working with generative AI features or LLM-based integrations in a product context.

• Retail industry or e-commerce experience is highly desirable.

• Strong engineering fundamentals: component architecture, responsive design, accessibility, and performance optimization.

• Proficiency in HTML, CSS, JavaScript, React, and Next.js.

• Hands-on backend experience with Node.js or Python.

• Good understanding of generative AI concepts, including working with LLM APIs, prompt integration, and surfacing AI-powered features in product UIs.

• Hands-on experience building and consuming REST APIs and deployment basics (Docker, Azure App Services).

• Proficiency in SQL and experience with data manipulation and querying.

• Familiarity with Azure cloud services is a plus; exposure to other cloud platforms (AWS, Google Cloud) is welcome.

• Experience in ML systems design and deployment is a plus.

Soft Skills:

• Excellent problem-solving skills and the ability to work independently and as part of a team.

• Strong communication skills, with the ability to translate complex technical concepts into clear product outcomes.

• A proactive approach to learning and innovation, with a curiosity about the evolving generative AI landscape. ◦ Fantastic team player and collaborator.