Prompt Engineer

Summary

Join our team and work on an advanced self-service chatbot application for the airline industry, built using a .NET Core microservices architecture and the Cognigy AI platform. You will follow and apply the latest practices in AI app development, including LLM prompting, RAG, and agentic AI. Responsibilities include migrating an existing NLU-based solution to an agentic architecture, collaborating with various teams, and documenting prompt design principles. The ideal candidate possesses a Bachelor’s degree in a related field or equivalent experience, along with experience in prompt engineering and AI model training. Competitive compensation, health insurance, meal vouchers, hybrid/remote work options, and professional development opportunities are offered.

Requirements

• Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience)
• Understanding of conversational AI concepts, NLP/NLU processing, and LLM models
• Experience with prompt engineering, fine-tuning, or training AI models
• Ability to analyze large datasets and conversation logs to improve AI responses
• Solid knowledge of JavaScript, JSON, and API integration
• Strong communication skills to collaborate across multidisciplinary teams
• Ability to analyze large datasets and conversation logs to improve AI responses

Responsibilities

• Following and applying the latest practices in AI app development (LLM prompting, RAG, Agentic AI, multi-agent architectures, MCP, and A2A protocols...)
• Stay updated on industry trends and tools to improve prompt engineering techniques continuously
• Experiment with prompt structures to enhance model accuracy and ensure responses align with business objectives
• Migrating NLU-based solution (user intent-based chatbot app) to agentic architecture
• Collaborate with business analysts, software developers, data scientists, UX designers, quality assurance
• Generative AI understanding, developing conversational AI agents and flows that include integration with backend APIs
• Document prompt design principles, best practices, and troubleshooting guidelines

Preferred Qualifications

Experience developing agentic architectures with Cognigy.AI framework or similar conversational AI platforms would be a big asset

Benefits

• Challenging projects in a highly professional, but also collaborative and supportive environment
• Working in small and excellently skilled teams
• Opportunities for your continuous professional development
• Competitive compensation depending on experience and skills
• Private Health Insurance options for you and your family members
• Meal vouchers
• Hybrid and Remote work options, with provided parking for office commuters
• Service Recognition Awards, our way of celebrating and rewarding long-term contributions
• Awesome Referral Bonus Program, because great people know great people
• Team gatherings and team-building activities to foster connections, a sense of belonging and camaraderie