Software Development Engineer 3 - (AI / Agents)

The Developer Platforms team builds the tools, portals, and infrastructure that empower Adobe's engineers to do their best work. We are responsible for the internal developer portal. This hub helps thousands of Adobe engineers discover services, access documentation, onboard to platforms, and manage daily workflows. Additionally, we maintain the organisational knowledge repository that makes Adobe's engineering knowledge searchable, discoverable, and actionable.

AI is changing how software is built. We are investing in intelligent internal developer experiences that use LLM-powered tools to surface knowledge, answer questions, coordinate tasks across systems, and ease daily challenges for Adobe engineers. We're building the platform capabilities that make agentic workflows and intelligent search first-class citizens of the internal developer experience, from multi-agent orchestration to memory and planning primitives.

We are looking for a Full Stack Software Engineer with strong AI proficiencies to join the Developer Platforms team and contribute to these committed, agent-powered experiences. You'll work across the stack building React-based interfaces, Node.js and Python services, and the orchestration layers that connect LLMs, tools, and internal APIs. You'll partner with product managers, designers, and fellow engineers to bring brand new agentic capabilities to Adobe's engineering community at scale.

Responsibilities:

• Design, develop, and test full-stack features end-to-end for the internal developer portal and enterprise knowledge hub, spanning React frontends, Node.js and Python backend services, and AI orchestration layers.
• Build LLM-powered capabilities including agent planning, tool/function calling, memory management, and multi-agent workflow orchestration to help engineers find knowledge and get work done.
• Develop and integrate APIs that allow agents to discover and act across Adobe's internal services and knowledge sources, with a focus on reliability and correctness.
• Design orchestration patterns that coordinate multiple agents, tools, and data sources to accomplish complex engineering tasks and answer knowledge queries.
• Collaborate with product management and design to translate emerging AI use cases into well-architected, production-ready solutions.
• Participate in build reviews and code reviews, promoting engineering guidelines across both traditional and machine learning systems.
• Investigate and resolve production issues across the stack, contributing to operational excellence, evaluation, and monitoring of AI systems.

Requirements:

• Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related field with 4- 6 years of professional software development experience.
• Strong full-stack proficiency with JavaScript/TypeScript, React, and Node.js .
• Solid backend engineering experience with Python and designing/consuming REST APIs.
• Hands-on experience building with LLMs, including prompt design, function/tool calling, and integrating model APIs into applications.
• Experience with agentic concepts such as LLM-based planning, memory management (short- and long-term context), and multi-agent workflow design.
• Familiarity with API orchestration, coordinating multiple services, tools, and data sources into coherent workflows.
• Working knowledge of cloud platforms (AWS, Azure, or GCP) and modern deployment practices.
• Strong problem-solving ability, good communication skills, and comfort operating across the full stack in a fast-moving environment.

Nice to Have:

• Experience with agent frameworks and protocols (e. g., LangChain, LangGraph, Model Context Protocol / MCP, A2A, or similar).
• Familiarity with RAG, vector databases, embeddings, and semantic search, especially applied to knowledge bases and documentation.
• Experience evaluating and testing non-deterministic AI systems (evals, guardrails, observability).
• Experience building internal developer portals, knowledge bases, or developer productivity tooling.
• Exposure to Adobe's React Spectrum design system or similar component libraries.
• Experience with serverless runtimes, microservices, or event-driven architectures.