Software Development Engineer, Full Stack (AI/Agents) – Developer Platforms at Adobe – Bangalore | Jobyssey

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 organizational 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.

What You'll Do

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.

What You Need To Succeed

Required

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.

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 [email protected] or call +1 408-536-3015.

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.

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What You'll Do

What You Need To Succeed