Contribute to the future of Mercedes-Benz in China by leading the charge in AI innovation – build innovative solutions, drive rapid prototypes, and scale AI to new heights. As part of the AI&Data Value team, the position is responsible to help our organization to transform into an AI-driven enterprise by designing and implementing knowledge graph driven applications including AI agents.

As a Full Stack Developer in the team you will…

•         Deliver end‑to‑end web applications and AI agents that enable seamless interaction with the knowledge graph platform.

•         Develop secure, scalable APIs for knowledge graph management and integration with multiple MB systems.

•         Create intuitive, responsive UIs for semantic search, graph visualization, and workflow execution.

•         Ensure compliance and governance by embedding audit trails, validation feedback, and MB security standards.

•         Optimize performance and reliability through CI/CD, observability, and cloud ready architecture.

•         Collaborate cross functionally with architects, data engineers, and business stakeholders to align technical delivery with business goals.

•         Participate in sprint planning and architecture reviews.

•         Produce clear technical documentation (architecture diagrams, deployment guides) and contribute to internal knowledge bases

•         Explore emerging frameworks (e.g., graph visualization libraries, semantic UI patterns) and propose enhancements to improve user experience and maintainability.

• Bachelor or Master’s in a quantitative degree (Computer Science, Information Systems, Engineering, Physics, Maths) or equivalent professional experience

Experience:

• 5+ years as full stack engineer delivering enterprise web apps (from MVP to production

• Expertise with React/TypeScript, state management, component libraries, accessibility; graph/relationship visualization is a plus.

• Proficiency with Python and/or Java, REST, microservices, API security (OAuth2/OIDC), and async processing.

• Familiarity with SPARQL/GraphQL over semantic layers; ability to design efficient query patterns and cache/materialize views for UI.

• Familiarity with RDF beneficial.

• Familiarity with prompt engineering and AI workflow development, and common frameworks (e.g. Langchain, Dify etc…)

• CI/CD (GitHub Actions/Azure DevOps), containerization (Docker/K8s), observability (OpenTelemetry/Prometheus), and secrets management.

• Experience building governed applications (audit, versioning, role‑based permissions) under enterprise security requirements.

• Experience with GraphDB/Neo4j workbenches (or equivalents) and graph visualization frameworks.

Specific Knowledge

• Abstract thinking and problem-solving for complex data relationships.

• Fluent in English and Chinese

• Exceptionally good communication skills towards colleagues and management

• Excellent written and communications skills to report back the findings in a clear, structured manner are required