Join Wiremind's emerging GenAI team under the supervision of our Lead GenAI Engineer
Contribute to developing LLM-powered features to help airlines and railways make better pricing and operational decisions
Participate in systematic evaluation, iterative improvement, model selection, and structured experimentation
Design and run experiments to test different approaches
Engage in prompt engineering through systematic testing and refinement
Develop evaluation frameworks and metrics aligned with expert preferences
Benchmark LLM models to find optimal cost/performance tradeoffs
Analyze failure modes and edge cases in LLM outputs
Document and share findings with the broader engineering and product teams

Currently pursuing a Master's Degree in computer science or data science
Solid Python programming skills and experience working on structured projects
Experimented with LLMs (personal projects, coursework, hackathons) and eagerness to learn more
Good understanding of fundamental machine learning concepts and evaluation metrics
Curiosity about applying AI to solve real business problems in production environments
Strong analytical skills and enjoy iterative experimentation
Clear communication and ability to explain technical concepts to non-technical stakeholders
Familiarity with prompt engineering best practices (Nice-to-have)
Interest in revenue management, pricing, or optimization problems (Nice-to-have)

1 day of remote work per week
A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)

Gen AI Engineer – Internship

Key skills