Required skills
- Retrieval-Augmented Generation (RAG)
- Large Language Models
- Python
- FastAPI
- TypeScript
- Svelte
- n8n
- REST APIs
- Model Context Protocol (MCP)
- OAuth2
- CI/CD
- RBAC
Nice to have:APIsArtificial IntelligenceSolution ArchitectureFront End DevelopmentApplication ArchitectureData ArchitectureEnterprise Architecture FrameworkInformation ArchitectureIntegrated Architecture FrameworkModel Driven Architecture
Languages: German
Job description
Develop and implement productive AI/LLM solutions, integrating backend and frontend components, and ensuring security and automated workflows.
Project overview
- Conception and implementation of productive AI/LLM solutions with RAG, embeddings, tool/function calling, and agentic workflows
- Development and integration of backend and frontend components with Python/FastAPI, JavaScript/TypeScript, and Svelte
- Integration of AI solutions into existing systems and data sources via REST APIs, webhooks, n8n, and MCP
- Building automated end-to-end workflows including error handling, retry mechanisms, and human-in-the-loop processes
- Implementation of the required security, data protection, and governance requirements, especially GDPR, PII protection, OIDC/OAuth2, and RBAC
- Setup of tests, CI/CD, as well as staging and production environments for stable productive operation
- Creation of technical documentation and architecture documents, as well as structured handover of the implemented solution to internal IT
Project details
- Start: ab sofort
- Duration: 3 Monate
- Remote: remote
- Location: Minden, Deutschland, DE
- Rate: 100-100 EUR/h
- Languages: German
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