LLM Engineer

• Translate product ideas into concrete technical solutions
• Assess architecture, models, interfaces, risks, and dependencies
• Develop production-grade AI applications and agentic systems
• Integrate AI applications into existing applications, data flows, and system landscapes
• Consider evaluation, monitoring, security, and costs from the outset and remain responsible for them after go-live
• Own the quality and release of production systems
• Make implementation decisions within engineering standards
• Turn AI ideas and prototypes into production-ready systems
• Take responsibility for what goes into production and how reliably it operates
• Ensure measurable impact after go-live
• As a Senior Engineer: Own the architecture of an AI system or domain
• As a Senior Engineer: Design solutions in direct collaboration with customers
• As a Senior Engineer: Share knowledge and create reusable solutions for the team
• Provide recommendations on deviations from standards, model selection with cost or data protection implications, and project priorities
• Submit a professional statement covering your motivation, challenges, overlooked aspects, and an LLM, RAG, or agentic application you played a significant role in developing or owning
• Describe how models, retrieval, tools, and agents were selected, integrated, evaluated, and operated after go-live

LLM Engineer jobs in Germany

Senior AI Software Engineer – LLM Applications