Senior Full Stack Engineer – Agentic Product

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 Adobes 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 Adobes 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 Adobes 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 youll do

• Own full-stack implementation across Adobes 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 Adobes 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 Adobes 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 Adobes scale.

• Raise the bar for peers on the team bygeneratingexcellent codedriving high-signal code review processes and sharing technical knowledge in agentic engineering.

What youll 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 agents entire surface area including backend services client SDKs and platform-specific integration patterns for Adobes 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.