Offer summary

Qualifications:

Bachelor's degree in Computer Science, IT, or related field., Understanding of conversational AI, NLP/NLU, and LLM models., Experience with prompt engineering, fine-tuning, or training AI models., Knowledge of JavaScript, JSON, and API integration..

Key responsibilities:

Implement and apply the latest AI app development practices, including prompt engineering and multi-agent architectures.

Collaborate with multidisciplinary teams to develop conversational AI agents and flows.

Experiment with prompt structures to improve model accuracy and alignment with business goals.

Document best practices and troubleshooting guidelines for prompt design.

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

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.

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.
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.

Benefits

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 – from fishing to basketball, whatever rocks your boat
Awesome referral fees - because great people know great people
Work-life balance – 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.

Required profile