Senior Staff Full Stack Engineer - Agent Platform, Firefly Boards

We're seeking a Senior Staff Engineer to lead the Agent Platform work for Firefly Boards. Boards is bringing agentic AI to the infinite canvas, and this role owns the engineering systems that make that work production-grade: the server-side agent runtime, the integration with Adobe's central agent platform, and the application stack that lets the agent act on the canvas alongside human users in real time. You'll partner closely with the agentic team that owns the intelligence side of the product (skills, model selection, agent quality), with a deliberate split of responsibilities. They define what the agent does and how well it does it. You define the systems it runs on.

Firefly Boards is an AI-powered mood-boarding and ideation app that provides a non-linear infinite canvas. It enables a new generation of creatives to embrace generative AI and those who find the linear workflows of legacy software restrictive. Images and videos can be imported or generated using AI models and edited, remixed, iterated on, and organized flexibly, making it easier for artists to visualize and develop ideas on their own or in collaboration.

What You'll Do

This role has three primary areas of ownership and several secondary responsibilities. The work spans the full stack - server-side runtime, web client, and the cross-team architecture that ties them together.

Primary:

• Server-side agent runtime. Stand up and own the service that runs Boards' agent workflows. State management, checkpointing, interrupt-and-resume across long-running operations, error recovery, and observability. This is the spine of the system and the foundation everything else builds on.

• Browser/server execution boundary. Define and own how server-side workflows dispatch to browser-only tools (canvas operations, viewport state, selection) and resume cleanly. Design the protocol, the runtime contract, and the in-client tool registration and invocation surface. Make it reliable under multiplayer conditions where humans and agents are editing the same document.

• Agent platform integration. Own the integration between Boards' agent runtime and Adobe's central agent platform. Co-shape platform contracts where Boards needs services that don't yet exist in the platform-supported shape. This is a cross-org partnership, not a one-off integration.

Secondary:

• Boards backend services for agentic consumption. Refactoring existing Boards APIs and adding new ones to be agent-callable. API design under real constraints: idempotency, transactional boundaries, undo, multiplayer-aware mutations.

• Production-grade systems concerns. End-to-end observability and tracing for agent runs. Latency budgets across runtime, tools, and model calls. Deployment, rollout, rollback. The work that turns a working prototype into something that's operable at scale.

How The Role Works

This is a senior IC role, not a tech lead role. You set engineering direction for the agent platform work and partner across organizational boundaries to make the integration with Adobe's central agent platform succeed. The agentic team owns the intelligence side of the product - skills, prompts, tool design, model selection, and agent-quality evaluation. You own the systems they build on. The contract between the two teams is jointly designed; you're peers, with shared accountability for the product working end-to-end.

Cross-team architecture is a real part of this role. You'll partner with Adobe's central agent platform team, the document services platform, model registry, identity, and security. Influence-without-authority across organizations is the operating mode.

• Bachelor's Degree or equivalent experience in Computer Science

• 10+ years of product engineering experience, with significant ownership of production systems at scale

• Demonstrated full stack depth: backend services and modern web client work in roughly equal measure. JavaScript/TypeScript, declarative UI frameworks (React, Lit, Vue), and a strong server-side language

• Distributed systems depth. Real experience with state management, checkpointing, async work, long-running operations, and recovery from partial failure. Track record of designing and operating systems with these properties, not just consuming them

• Experience integrating with a central platform team as a tenant. Has done the work of being an early customer of an internal platform and shaping it from that position

• Experience designing service APIs and microservices, including REST or equivalent contracts that hold up across teams

• Experience driving sophisticated software architecture, design, and development across multiple teams or organizations

• Track record of writing clean, testable code and creating reusable components

• Strong written and verbal communication. Comfortable shaping technical decisions in cross-org forums

Preferred Qualifications

• Experience building agentic or retrieval-augmented (RAG) systems with workflow engines such as LangGraph, or comparable runtime orchestration for tool-using LLM applications

• Experience with real-time collaborative or multiplayer applications, especially the browser/server boundary in a collaborative editor

• Familiarity with MCP (Model Context Protocol) and agent tool design patterns

• Experience with production LLM systems: evaluation infrastructure, observability, latency optimization, prompt and context engineering at the system level

• Experience with collaborative document models or CRDT-based systems

• Experience building image, video, or multimedia applications

• Experience with development tools such as Jenkins, GitHub, lint, etc.

• Experience with improving performance and stability of large web applications

• Experience with Accessibility (A11y) and Localization

• Experience working in an Agile development environment

This role is US-based. San Francisco, San Jose, and New York are highly preferred for proximity to partner teams. Remote work will be considered for exceptional candidates.

#FireflyBoards

#FireflyGenAI

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

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.

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