Job description
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
Follow and apply 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
Understand generative AI, develop conversational AI agents, and design flows that integrate with backend APIs
Document prompt design principles, best practices, and troubleshooting guidelines.
Bachelorโs 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
Fluent in English.
A chance to be a part of a casual but professional environment where you will have a safe place to try, fail and learn
Have full ownership over your code
Coaching from our tech leads to advance your soft and technical skills and set your development path
Defined and organized the onboarding process for both, the company and the project
Competitive compensation depending on experience and skills
Private pension and medical insurance for you and your family. Also, maternity and sick leave are 100% paid
Sport clubs โ from fishing to basketball, whatever rocks your boat
Awesome referral fees - because great people know great people
Work-life balance โ this is the company that really supports your professional, family and personal goals
Freedom to decide how you want to work - partly or fully remote or from our offices.