AI Specialist / LLM Application Engineer
Role details
Job location
Tech stack
Job description
- Design, develop, and ship AI-powered product features based on Large Language Models (LLMs)
- Enable teams across the company to effectively use AI technologies and tools
- Develop, refine, and maintain prompts, agents, and AI behavior patterns
- Evaluate and benchmark system responses to ensure quality, accuracy, and usefulness
- Design and implement testing strategies and reliability engineering for LLM-based systems
- Build and maintain internal AI tooling and developer infrastructure
- Support teams in designing and implementing end-to-end AI workflows
- Conduct recurring internal workshops, trainings, and knowledge-sharing sessions on AI and LLM topics
Requirements
Do you have experience in TypeScript?, Do you have a Master's degree?, * Proven experience building and operating LLM-based applications in production environments
- Practical experience with retrieval-augmented generation (RAG), embeddings, and hands-on experience with vector databases
- Experience with function calling and structured model outputs
- Ideally, experience with Model Context Protocol (MCP) or similar agent orchestration frameworks
- Strong understanding of testing strategies for LLM systems (evaluation, regression testing, reliability)
- Experience with Ruby / Ruby on Rails and TypeScript in production systems
- Strong teamwork and collaboration skills
- Experience teaching, mentoring, or enabling others in technical topics
Benefits & conditions
As a team, we build hardware and software solutions to provide a delightful platform for guest communication, both for the hotel guests and the hoteliers.
On the one hand, we augment the in-room experience for the hotel guests with products and features such as the Digital Guest Directory, various Remote-Controls, VoIP, and Contactless Checkout.
On the other hand, we also provide solutions to help hoteliers optimise their operations: be it managing their content, gaining insights into analytics, or various integrations to increase their efficiency.
How We Work
- We are a team of light-hearted and international Frontend, Backend, Android, Infrastructure, and Hardware Engineers
- We encourage teammates to bring in well-reasoned opinions, productively disagree with us, and make decisions based on technical merits - we make evidence-based decisions as a team
- We respect each other's work-life balance
- We uphold high code quality standards that are enforced via CI, static analysis, and code reviews, as we strive to reduce our "total cost of ownership"
- We adapt agile methodologies to our needs, * A team of excellent international engineers to work with and 40 other colleagues looking forward to your support
- A product with global traction
- Swift decision making
- A high degree of autonomy in your work
- A yearly personal training budget of 1,000 EUR, mobility benefits, tax-free vouchers for various stores, 30 days of vacation per calendar year, home office days, and great team events
- A modern office, right in central Berlin, and, of course, free drinks and healthy fruit included :