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. Comfort operating in a fast-moving, ambiguous environment where the underlying models, frameworks, and user expectations are all rapidly evolving — strong enough foundations to move fast without building on sand. Experience collaborating cross-functionally with product, design, platform, and security teams in the context of shipping user-facing AI products. 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 very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations adobe.com . AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience . Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $159,200 - $301,600 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $208,300 - $301,600 In New York, the pay range for this position is $208,300 - $301,600 In Washington, the pay range for this position is $190,200 - $275,400 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC base commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Requirements

Must-haves

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.
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.
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
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.
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.
Comfort operating in a fast-moving, ambiguous environment where the underlying models, frameworks, and user expectations are all rapidly evolving — strong enough foundations to move fast without building on sand.
Experience collaborating cross-functionally with product, design, platform, and security teams in the context of shipping user-facing AI products.
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.
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Application Window Notice
Massachusetts Legal Notice

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmapici/cd

Platform: workday
Effort: long