Senior Full Stack Engineer – Agentic Product

Adobe is reimagining the future of creativity — where generative AI, intelligent agents, and human imagination work hand in hand. As a key technical contributor, you will help build Adobe's up-and-coming AI-native experience that integrates generative models, creative intelligence, and decades of Adobe capabilities for hundreds of millions of creators.

Responsibilities

• 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: translate prototype-quality capabilities into robust, scalable, maintainable systems that meet Adobe's quality and reliability standards 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 scaffolding that enables fast, confident movement in a fast-moving AI product environment.
• Stay current with the model capabilities ecosystem, evaluate new LLM approaches and frameworks, and contribute recommendations on adoption.
• Help build and maintain the evaluation and quality framework for agent behavior — including evals, benchmarks, and systematic feedback loops to measure progress and catch regressions.
• 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 operational requirements 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.

Requirements

• 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 understanding of failure modes 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 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 underlying models, frameworks, and user expectations are 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.

Benefits

• Immersion in an exceptional work environment recognized globally, surrounded by colleagues committed to helping each other grow through Adobe’s unique Check-In approach with ongoing feedback.

Pay

The U.S. pay range for this position is $159,200 – $301,600 annually, varying by work location and depending on job-related knowledge, skills, and experience. Specific pay ranges for certain states:

• California: $208,300 – $301,600
• New York: $208,300 – $301,600
• Washington: $190,200 – $275,400

For sales roles, starting salaries are expressed as total target compensation (TTC = base + commission), with short-term incentives in the form of sales commission plans. For non-sales roles, starting salaries are expressed as base salary with short-term incentives in the form of the Annual Incentive Plan (AIP). Certain roles may also be eligible for long-term incentives in the form of a new hire equity award.