tekkminds

Backend Engineer

• Backend development (50%)
• Design and development of cloud-native applications with Java/Kotlin and Spring Boot
• Design and implementation of REST APIs for enterprise systems
• Containerization and orchestration with Docker and Kubernetes/OpenShift
• Build and optimize CI/CD pipelines
• Migration and modernization of existing backend systems
• AI integration (50%)
• Development of RAG systems (Retrieval-Augmented Generation) with LangChain/LangChain4J
• Implementation of MCP servers for LLM integration with existing APIs
• Building agent-based architectures and agent-to-agent communication
• Integration of vector databases and embedding technologies
• MLOps: deployment and monitoring of AI components in the cloud
• Technical consulting for enterprise customers on AI integration projects
• Architecture decisions at the backend/AI interface
• Further development of our internal standards and best practices

Senior Cloud Software Engineer, Backend – AI