Senior Frontend & Agent Engineer : Joule Work Desktop

At SAP, we keep it simple: you bring your best to us, and we’ll bring out the best in you. We’re builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what’s next. The work is challenging - but it matters. You’ll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What’s in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

The Team You will join a small team of experts within SAP’s AI engineering unit, focused on building Joule Work Desktop. The team operates with high autonomy, high ownership, and a bias toward shipping. You will work alongside engineers who treat AI not as an add-on but as a fundamental part of how they build software.

The Product Joule Work Desktop is SAP’s AI-powered desktop application for knowledge workers and business users. It is a local, agent-driven environment that puts an AI agent directly into the user’s daily workflow. The product combines a UI layer built with TypeScript and React with an underlying agent harness that executes multi-step tasks, integrates with external services via MCP servers, and is extensible via a skills system. It demands equal strength in AI engineering and product-quality UI work.

What You’ll Do This is a hands-on individual contributor role. Your work will span two core areas:

Agent Harness. You will extend, improve, and optimize the agent harness powering Joule Work Desktop: skill selection, tool use, MCP server connectivity, correctness, speed, and security. You will work on observability, explainability, and evaluation infrastructure that keeps the agent reliable and auditable.

UI & Product Features. You will ship user-facing features in TypeScript and React, working across the application’s interface layer.

In both areas, the expectation is fast iteration and continuous shipping. The team is small by design. You use AI tooling to move at a pace that would otherwise require more people., SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

TypeScript & React. Senior-level proficiency in building production UI applications. You write clean, maintainable TypeScript and are comfortable owning complex React codebases.

• Agent Engineering. Significant hands-on experience building, operating, or optimizing AI agents and/or agent harnesses. You understand how agents plan, execute, recover from errors, and interact with tools. You have worked on problems of agent correctness, latency, and security in practice, not only in theory.

• AI Systems Knowledge. You are fluent in the concepts that agent systems are built on: skills and tool-use patterns, MCP server integration, observability and tracing of agent behaviour, explainability of agent decisions, and evaluation frameworks for measuring agent quality.

• AI-Native Engineering Practice. You use AI to write, review, and ship code faster than would otherwise be possible. You have deep, daily experience with tools like Claude Code, Codex, Cursor, or equivalent AI-centric development environments. When we ask how you use AI in your work, we expect concrete answers: what you shipped, how long it took, what wouldn’t have been feasible otherwise. We also expect opinions on how AI-native engineering should be done, not just that you’ve tried it.

• University Degree. In computer science, software engineering, or a closely related field.

Preferred

• Experience with LangGraph, LangChain, or similar agentic orchestration frameworks.
• Experience building Electron applications.
• Experience with Windows development OS APIs, platform-specific quirks, and native modules.
• Familiarity with application security, sandboxing, or process isolation understanding how to constrain untrusted code execution in desktop environments.
• A track record of shipping AI-powered products to real users, not just prototypes or demos.

Skills used in this role: AI adoption capability, AI output quality assurance, AI-assisted engineering, context engineering, agentic orchestration, agentic engineering, application security, observability.