(Senior) Software Engineer – LLM & AI Platform

Asks for

• Agenten-ArchitekturenThe ad says“LLM-Application-Engineering — Prompt-/Context-Engineering, Function-Calling, Agenten-Architekturen”
• API-DesignThe ad says“Backend — Node/Python (o. ä.), saubere Services, Async, API-Design, Datenmodellierung”
• ChunkingThe ad says“RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding”
• DatenmodellierungThe ad says“Backend — Node/Python (o. ä.), saubere Services, Async, API-Design, Datenmodellierung”
• Evaluation/GroundingThe ad says“RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding”
• Function-CallingThe ad says“LLM-Application-Engineering — Prompt-/Context-Engineering, Function-Calling, Agenten-Architekturen”
• LangChainThe ad says“LLM-Frameworks — LangChain / LlamaIndex (o. ä.) für Orchestrierung, Chains/Agents, Tool-Use”
• LlamaIndexThe ad says“LLM-Frameworks — LangChain / LlamaIndex (o. ä.) für Orchestrierung, Chains/Agents, Tool-Use”
• MCPThe ad says“MCP (Model Context Protocol)”
• NodeThe ad says“Backend — Node/Python (o. ä.), saubere Services, Async, API-Design, Datenmodellierung”
• Prompt EngineeringThe ad says“LLM-Application-Engineering — Prompt-/Context-Engineering, Function-Calling, Agenten-Architekturen”
• PythonThe ad says“Backend — Node/Python (o. ä.), saubere Services, Async, API-Design, Datenmodellierung”
• RAG-PipelinesThe ad says“RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding”
• ReactThe ad says“Frontend — React / TypeScript, baut nutzbare Oberflächen für die KI-Features selbst”
• RetrievalThe ad says“RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding”
• TypeScriptThe ad says“Frontend — React / TypeScript, baut nutzbare Oberflächen für die KI-Features selbst”
• Vector DBThe ad says“RAG-Pipelines in Produktion — Vector DB, Retrieval, Chunking, Evaluation/Grounding”