Data Scientist (LLM)

Chat Assistant is used by over 10 million travelers, it’s evolving from a traditional conversational bot into an advanced, agentic AI. It’s not just about answering FAQs - this assistant already handles end-to-end transactions like rebookings and refunds today, offering a truly seamless travel support experience. The team’s mission is to create the most intelligent, intuitive conversational experience in the travel industry via the move to Agentic AI.

Your responsibilities:

• Craft and fine-tune advanced LLM prompts to drive high-performance conversational experiences in the Chat Assistant.

• Use a data-driven approach to identify limitations in current conversational models and generate effective solutions for challenges such as user engagement, contextual understanding, and content moderation.

• Design reusable frameworks that encapsulate innovative functionalities and can be adapted across various assistant use cases.

• Collaborate closely with engineering teams to align GenAI strategies with backend enhancements, contributing to architectural optimization and improved task performance.

• Prototype, deploy and maintain new LLM or agentic AI based strategies to support emerging features and expand the assistant’s capabilities.

• Continuously evolve the LHG Chat Assistant architecture with a focus on deepening the assistant’s natural language understanding and response relevance, integrating agentic AI principles to enable more adaptive, goal-oriented interactions in our redesigned system.

• Build LLM-backed transactional flows.

• Transition towards agentic AI, orchestrate hybrid solution with AI + deterministic logic.

• Implement and maintain function calling to backend systems or APIs.

• Automated testing for all components of AI solutions (prompt, flows, function calls, etc.).

Our requirements:

• At least 3 years of commercial experience in Data Science or Machine Learning,

• Expertise in designing, testing, and optimizing solutions for large language models (e.g., ChatGPT, GPT-4).

• Proficiency in Python and at least one AI/data- platform (e.g. CognigyAI, databricks)

• Hands-on expertise with AI/NLP platforms and performance evaluation (A/B testing, error analysis).

• Solid grasp of current AI/ML research, with a focus on best practices for GenAI and emerging agentic AI concepts.

• Strong collaborator in agile, cross-functional teams, with excellent technical communication.

• Awareness of ethical AI practices, including bias mitigation and data privacy.

• Ability to translate complex concepts into accessible language for non-technical stakeholders.

• A systematic approach to identifying issues in existing setup and constructing targeted solutions, including the ability to troubleshoot and optimize model behavior under different conversational scenarios.

• Very good command of English language,

• Proactive attitude and the ability to work as a team player,

• The ability to think beyond the current scope of the project,

• Experience actively participating in a Scrum team by bringing in new solutions,

• Willingness to travel once per quarter,

• Willingness to upskill on your own initiative and deriving further insights from data,

• Willingness to come to our office in Gdańsk two days a week or relocate to Trójmiasto.

What do we offer?

• An international working environment, atmosphere that stimulates development,

• Individual career path,

• Lufthansa Group membership benefits,

• Salary in the range of:

  • Standard position 11 000 - 16 000 zł gross (contract of employment)

  • Senior position 14 000 - 21 000 zł gross (contract of employment)

• Flexible working time and place adjusted to employee’s needs. Possibility of starting your workday between 07:00 and 11:00.

• Support for your passion for sports within the local activity group and co-financing Multisport cards.

• Private medical care for employees and their family members.

• Life insurance.

• Parking space for employees.

• Extra social benefits.

• Holiday funds.

• Sharing the costs of holidays for kids.

• Sharing the commuting costs.

• Modern office in Oliwa – great location and comfortable workspace.

• Atmosphere – small teams, high independence, real impact on the project.