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Software Development Engineer 4

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The role, as it was posted

About Adobe

Changing the world through digital experiences is what Adobe is all about. We empower everyone—from emerging creators to the world's largest enterprises—to build, compose, and deliver outstanding digital experiences. Innovation is at the heart of everything we do, and we're redefining how software itself is developed in the era of AI.

At Adobe, we're crafting the next generation of developer experiences by embedding AI into every phase of the software development lifecycle. We believe the next breakthrough will come from empowering every engineer with intelligent tools, autonomous agents, and scalable AI infrastructure.

About the Team

The Adobe Builder Experience team is reimagining the future of software engineering at Adobe.

Our mission is to develop the AI Factory for Adobe engineers—a single platform enabling teams across the company to build, deploy, manage, and scale intelligent AI agents and skills that assist throughout the engineering lifecycle. From requirements analysis and architecture development to code generation, debugging, testing, deployment, observability, and production analysis, we are inventing the foundational infrastructure that drives the next wave of AI-native software development.

Our platform integrates LLMs, agentic workflows, developer tooling, evaluation systems, context management, orchestration frameworks, and cloud infrastructure to boost engineering efficiency while preserving enterprise-grade reliability, security, and governance.

We're looking for passionate engineers who enjoy solving complex systems problems and want to compose how thousands of Adobe engineers build software in the AI era.

What You'll Do

  • Compose and build the core AI platform powering intelligent developer workflows across Adobe.
  • Develop scalable infrastructure for crafting, deploying, orchestrating, and managing AI agents and reusable skills.
  • Build distributed backend services for context management, agent orchestration, evaluation, observability, and runtime execution.
  • Build highly reliable, low-latency systems supporting AI-powered developer interactions.
  • Partner with product, research, and engineering teams to bring modern AI capabilities into production.
  • Drive architectural decisions around agentic systems, multi-agent collaboration, retrieval, memory, and context management.
  • Continuously improve the developer experience by employing the latest advances in LLMs, reasoning models, and AI engineering.
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