Software Development Engineer

Adobe•San Jose, CA

12d

About The Position

The Assets and Collaboration pillar builds core capabilities in Adobe Express that help people build, coordinate, reuse, and collaborate on content. Our work spans asset management, brand consistency, reusable design systems, and shared creative workflows. Within this group, the Adobe Express Branding team helps people build content that consistently reflects their brand. We develop tools that understand a brand’s identity and make its colors, fonts, assets, and design elements readily available while people build. You’ll resolve engineering tasks across web applications, services, and AI-enhanced experiences for customers ranging from small businesses to large organizations. It’s an exciting time to influence how AI can improve interactions with brands in Adobe Express!

Requirements

5+ years of software development experience building and shipping production web applications.
Strong frontend engineering skills including TypeScript, modern JavaScript (ES6+), React, and Web Components.
Familiarity with technologies such as Node.js and npm.
Understanding of modern browsers and web applications beyond the framework level, including browser APIs, JavaScript engines, rendering, Shadow DOM, Service Workers, CDNs, CSS, and web performance.
Hands-on experience developing or integrating AI or LLM-powered features in production.
Understanding of how to make AI/LLM capabilities measurable and dependable.
Comfort experimenting, identifying failure cases, interpreting results, and communicating technical uncertainty.
Clear communication and the ability to explain technical tradeoffs.
Ability to make practical decisions involving security, privacy, performance, brand governance, and delivery risk while keeping customer needs in focus.

Nice To Haves

Familiarity with MobX or LitElement.
Experience crafting or owning backend services using Node.js, Java, or similar technologies.
Useful knowledge includes timely engineering, structured outputs, context management, output validation, LLM evaluation methods, and Retrieval-Augmented Generation (RAG).

Responsibilities

Build and deliver customer-facing features for branding, asset management, and collaboration.
Develop AI and LLM-powered experiences.
Explore different approaches and test them using real use cases.
Establish methods to measure output quality through structured outputs, validation, evaluation datasets, and metrics.
Own projects from technical development through implementation, testing, deployment, and post-launch improvements.
Collaborate with engineers, designers, researchers, and product managers to make technical and product decisions.
Contribute to frontend and backend architecture, review code, assess new ideas, and help operate the services you develop.
Ensure performance, reliability, security, privacy, and maintainability, particularly for enterprise customers.