AI Engineer
cozycozy · Paris, Île-de-France, France ·
- Category
- AI engineering
- Experience
- 1+ years
cozycozy · Paris, Île-de-France, France ·
cozycozy is the only platform that gives you real-time access to all available holiday accommodations. Whether you're searching for a hotel, apartment, hostel, villa, or even a treehouse, our service features over 20 million listings from over 100 booking sites. You will find popular options like Airbnb, Booking.com, Abritel/VRBO and hotels.com, as well as plenty of specialised marketplaces to explore, such as Agriturismo, Gîtes de France, Onefinestay, Belvilla, Sonder, Travelski, and many others. Experiencing rapid growth, we are now present in over 50 countries in 20 languages, with offices in Paris and Budapest.
About the role
At cozycozy, we’re building the world’s best accommodation metasearch platform making travel simple, transparent, and inspiring. We already process millions of searches, and we’re growing fast. This is the opportunity to push AI forward in a team that tries to solve one of the biggest problems in travel: planning your holiday travel. We are looking for a dynamic and dedicated AI Engineer ready to fully engage in supporting our rapid growth. You will be a key pillar of our innovation strategy, helping us ship future-proof products in the age of AI.
Your mission
Lead the end-to-end AI lifecycle: You'll take ownership of AI-powered features from initial concept and technical design through to production deployment, monitoring, and continuous improvement.
Build and deploy advanced AI models: You will design and deploy a wide range of deep learning models. This includes fine-tuning LLMs, implementing techniques like RAG, and engineering the MCP servers that feed them relevant, real-time information.
Engineer for performance: You'll develop and optimize scalable, low-latency inference services to ensure a seamless user experience across all models.
Collaborate for user impact: You will work closely with product, backend, and DevOps teams to integrate cutting-edge models into user-centric, production-ready solutions.
Transform data into intelligence: You'll convert raw and unstructured data (including text, images, and user behavior) into smart, engaging, and context-aware experiences that redefine travel planning.
Drive innovation and quality: You will stay at the forefront of the AI landscape by researching and applying the latest techniques, while upholding high engineering standards through peer reviews, testing, and clear documentation.
About You
You might be a great fit if you have:
5+ years of experience as an AI/Machine learning engineer, with at least 1 year of hands-on work with LLMs or Generative AI.
An M.S. or Ph.D. in a STEM field from a top university or “Grande École”.
Fluency in Python and a strong command of its core machine learning and deep learning libraries.
A strong foundation in core machine learning, including experience with deep learning models (CNNs, RNNs) and classical algorithms (e.g., Linear/Logistic regression, Random Forests, Gradient Boosting, etc.).
A deep understanding of modern AI architectures like transformers, tokens, attention, and embeddings.
Practical experience fine-tuning, deploying, and optimizing large-scale models for latency and cost.
Experience working with a variety of data stores, including relational, NoSQL, and vector databases.
A product mindset focused on the user experience, not just the model's accuracy.
Motivation to work in an international, English-speaking environment.
It’s a bonus if you:
Have worked in bare-metal or hybrid cloud environments.
Bring experience from the travel tech industry or other large-scale search platforms.
Why join cozycozy?
🚀 You’ll operate in a key role in the development of a fast-growing travel-tech startup.
🌍 You will work closely with founders and fellow engineers in impact-led small teams.
💡We encourage initiative, creativity, and ownership. The systems you build will power millions of searches used by real travelers.
☕ Enjoy our office in Paris (75010) with unlimited coffee, tea, snacks, and drinks.
💶 Competitive salary, stock options, Alan health insurance, and Swile card.
Our hiring process
HR interview with Mia, our Head of Talent
1:1 interview with the Hiring Manager (onsite)
Technical case to present your recommendations to the VP Business & Product Innovation and our stakeholders.
Meet the team !
What’s Next?
Once we receive your application, we will thoroughly review your CV and cover letter and will return back to you with an update as soon as possible. We invite you to get to know more about us by visiting and follow us on LinkedIn , Instagram, Tiktok and Facebook !