AI Solution Engineer

We are seeking an AI Solution Engineer to strengthen an agentic voice-to-voice AI assistant powered by real-time GPT models. You will refine prompt strategy, raise output quality, and align Model Context Protocol context-injection tooling with delivery needs.

Responsibilities

• Design prompt architectures for agentic voice-to-voice flows using real-time GPT models
• Develop and refine prompts to increase response quality, safety, and consistency
• Run experiments to measure prompt updates against accuracy and performance targets
• Analyze model outputs to uncover failure modes and recommend concrete improvements
• Integrate and apply Model Context Protocol tools for context injection across agentic flows
• Coordinate changes with the MCP and integration team to iterate draft tools and synchronize updates
• Document prompt engineering workflows, decisions, and best practices to support ongoing delivery

Requirements

• Hands-on experience in prompt engineering for production AI systems (2+ years)
• Proven practice writing and iterating agentic prompts in complex environments (2+ years)
• Middle-level capability to align stakeholders and delivery teams toward shared outcomes
• Strong execution skills to iterate features efficiently after go-live
• Practical understanding of real-time GPT models and voice-to-voice use cases
• Solid analytical skills to assess model outputs and spot improvement opportunities
• Clear communication skills to explain technical concepts in an accessible way
• Upper-Intermediate English proficiency (B2)
• High attention to detail with strong problem-solving skills

Nice to have

• Familiarity with Model Context Protocol
• Experience with GPT Realtime models
• German language skills
• Background in client contact or customer care environments
• Knowledge of AI ethics and responsible AI practices