Prompt Engineer

Createq
Summary
Join our team and be a part of an innovative project developing a self-service chatbot application for the airline industry. You will leverage cutting-edge AI technologies like LLMs, RAG, and agentic AI to enhance customer experience. The role involves designing and developing conversational AI agents, integrating with backend APIs, and improving model accuracy through prompt engineering. You will collaborate with a multidisciplinary team and contribute to the migration of an existing NLU-based chatbot to an agentic architecture. The position requires expertise in AI development, NLP/NLU, and prompt engineering, along with strong communication and analytical skills. We offer a casual yet professional work environment with opportunities for growth and development.
Requirements
- Bachelorβs 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
- Fluent in English
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
Preferred Qualifications
Experience developing agentic architectures with Cognigy.AI framework or similar conversational AI platforms would be a big asset
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 β from fishing to basketball, whatever rocks your boat
- Awesome referral fees - because great people know great people
- Work-life balance β 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
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