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Prompt Engineer

Job Description - Prompt Engineer

This project introduces an advanced self-service chatbot application specifically designed for the airline industry. The solution aims to significantly enhance the customer experience by providing immediate and efficient support for various flight-related inquiries.

The application is built on robust and scalable architecture, leveraging modern cloud-native technologies:

  • Backend is developed using a .NET Core microservices architecture. This approach ensures scalability, resilience, and independent deployment of individual services.
  • Frontend & Conversation Flow are powered by the Cognigy AI platform. Cognigy is a leading framework for developing sophisticated conversational (chat) flows, enabling intuitive and effective customer interactions.

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