Medior Cloud Developer (AI Integrations)

Do you want to shape beneficial technologies with your ideas? Whether in mobility solutions, consumer goods, industrial technology, or energy and building technology – with us, you will have the chance to improve quality of life all across the globe.

As part of the Bosch Engineering Center, you will work on an enterprise AI integration platform that connects large language models to internal business systems via the Model Context Protocol (MCP). Our stack powers secure, policy-driven AI assistant experiences across various enterprise platforms — serving thousands of users within a large corporate environment.

Welcome to Bosch.

► Develop scalable backend microservices and handle authentication, request routing, and protocol orchestration

► Contribute to our SDK used by multiple servers across the organization

► Build and manage cloud-native infrastructure, utilizing GitOps, modern messaging systems, and service meshes

► Build integration servers that connect AI assistants to major business platforms and enterprise APIs

► Implement robust security and authentication flows, including policy evaluation and secret management

► Ensure system observability through comprehensive instrumentation, metrics, and distributed tracing

► Design tool interfaces for LLM consumption and optimize protocol interactions

► Take full ownership of your work from code to production, bringing a security mindset, writing clean code, and fostering collaboration

Requirements

► 3–5 years building production backend systems; ► Strong TypeScript / Node.js, comfortable designing and consuming REST APIs and async/event-driven interfaces; ► Hands-on with containerization and orchestration (eg. Docker and Kubernetes) in production — not just local dev; ► Solid Git, CI/CD, and automated testing discipline (unit, integration, contract); ► Cloud fundamentals: networking, load balancing, secure communications (TLS/mTLS, identity, secrets); ► Comfortable with observability in practice — structured logging, metrics, distributed tracing (OpenTelemetry); ► Curiosity and interest in AI/LLM technology and how it intersects with enterprise software; ► Strong plus: Experience with AI/LLM integration patterns (RAG, tool/function calling, MCP, agent frameworks) Event-driven architectures and message brokers (NATS/JetStream, Kafka, etc.)

Benefits

22 - 27 days of annual leave , because work-life balance is essential to us; Flexible working hours; Our Hybrid program is designed to combine working from office and from home, offering flexibility and a balanced approach; Up to 3 days off for private purposes