Senior Full Stack Engineer - Agentic Engineering

Adobe; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Adobe is building an AI-native experience that brings generative models and human creativity together at scale. We seek a Senior Full Stack Engineer, Agentic Product, to own end-to-end development—from LLM integration to platform-wide delivery across desktop, mobile, and web.

You will drive model orchestration, tool use, and robust agent execution while improving developer experience and CI/CD practices for a fast-moving AI product team.

Qualifications

• Hands-on experience building and shipping agentic systems with large language models.
• Proven ability to implement full-stack components across backend, API surfaces, and client runtimes.
• Strong emphasis on production-quality code, testing, and CI/CD practices.
• Familiarity with responsible AI considerations for consumer and enterprise AI features.

Responsibilities

• Own full-stack implementation across the Agentic Product, including model integration and agentic reasoning layers.
• Develop API surfaces, client runtimes, and cross-platform delivery for desktop, mobile, and web.
• Contribute to model orchestration, tool usage, multi-step task execution, and evaluation infrastructure.
• Promote AI-assisted engineering practices and guide code quality, reviews, and developer experience.

Skills

LLM experience

Agentic systems

Full-stack development

Code quality

Tools

Claude Code

Codex

Cursor

Job description

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. Collaborate across Adobe's platform, infrastructure, data, and security teams to ensure the Agentic Product is built on a foundation that supports guardrails, data protection, observability, and the operational requirements of a product at Adobe's scale. Raise the bar for peers on the team by generating excellent code, driving high-signal code review processes, and sharing technical knowledge in agentic engineering.

What you'll need to succeed

Solid, hands-on experience with large language models - including practical fluency with LLM APIs, prompt engineering, context window management, retrieval-augmented generation, and the operational realities of running LLM-backed systems in production. Experience building and shipping agentic systems: tool use, multi-step reasoning, agent orchestration frameworks, memory and context persistence, and the failure modes that emerge at each layer. Hands-on experience with AI-assisted engineering tools - Claude Code, Codex, Cursor, or similar - and a track record of integrating these into real development workflows. Enthusiasm for pushing the boundary of what AI-augmented engineering can look like at the frontier. Full-stack engineering depth sufficient to contribute across the agent's entire surface area - including backend services, client SDKs, and platform-specific integration patterns for Adobe's target platforms. Strong engineering craft: readable, well-structured, production-quality code; opinionated views on testing, local dev ergonomics, and the scaffolding that helps a team stay productive as a codebase grows. Clear communication skills - able to discuss technical tradeoffs with PM leads and senior technical stakeholders, flag issues early, and collaborate effectively across disciplines. Familiarity with the quality, trust, and reliability requirements of shipping AI features to a large consumer and enterprise audience, including responsible AI considerations specific to generative and agentic systems.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the v