Senior Full Stack Engineer - Agentic Engineering

About the role

Job Description

The Opportunity

Adobe is reimagining the future of creativity — where generative AI, intelligent agents, and human imagination work hand in hand. As a Senior Full Stack Engineer, Agentic Product, you will be a key technical contributor for Adobe's up-and-coming AI-native experience that brings generative models, creative intelligence, and decades of differentiated Adobe capabilities together for hundreds of millions of creators. You will own hands-on buildout of the agent across the full stack and across Adobe's target platforms, from desktop and mobile to web and embedded surfaces. You will help reshape the way the team works in the age of agentic engineering. And you will be getting in on the ground floor to help shape the team and its practices.

This is a rare opportunity to build the engineering foundations of Adobe's soon-to-be most visible AI product — from model integration and agentic reasoning patterns, to production infrastructure and cross-platform delivery. The right person brings deep, hands-on full-stack expertise, proven experience shipping agentic systems, a genuine enthusiasm for transforming how engineering itself is done with AI tools like Claude Code and Codex, and the craft to write production-quality code that holds up over time.

What you'll do

- Own full-stack implementation across Adobe's Agentic Product — from LLM integration and agentic reasoning layers, to API surfaces, client runtimes, and platform-specific delivery on desktop, mobile, and web.

- Contribute to the production buildout of the agent: translating prototype-quality capabilities into robust, scalable, maintainable systems that meet Adobe's quality and reliability bar for a large, diverse audience.

- Drive hands-on implementation of high-leverage components — including model orchestration, tool use, multi-step task execution, context and memory management, and agent evaluation infrastructure.

- Champion the adoption of AI-assisted engineering practices — using tools like Claude Code, Codex, and emerging agentic development platforms to accelerate implementation, raise code quality, and fundamentally change how the team ships. Model new workflows where AI is a first-class collaborator in the development process.

- Contribute to developer experience: tooling, local development loops, CI/CD ergonomics, and the scaffolding that lets a team move fast and confidently in a fast-moving AI product environment.

- Stay current with the model capabilities ecosystem, evaluating new LLM approaches and frameworks, and contributing recommendations on when and how to adopt them.

- Help build and maintain the evaluation and quality framework for agent behavior — the evals, benchmarks, and systematic feedback loops that allow the team to measure progress and catch regressions as capabilities evolve.

- Partner with Engineering and Product leadership to translate product ambitions into technically grounded delivery — surfacing constraints early, proposing implementation options, and ensuring scope is set based on accurate technical understanding.