Worldia

About the Company

We believe planning a trip should be fun and stress-free. We are a platform offering a la carte travel, simplifying the creation of unforgettable travel itineraries as original as each traveler.
We make it easy:
* Choose a destination.
* Customise your trip.
* Check quotes and availabilities in real-time.
* Book online.
Our model is B2B2C: We empower our partners to co-create personalized travel itineraries with their customers.
* No upfront fees or setup costs: getting started is free!
* Fully customizable design and content.
* Attractive commission structure.
We are a dynamic and innovative start-up always on the lookout for top talent. Looking for a satisfying and challenging position? Come aboard our rocket!

Listed Jobs

Company Name

Worldia

Job Title

AI Engineer

Job Description

Job Title: AI Engineer Role Summary Responsible for designing, building, and deploying AI-powered workflows that solve business problems. Works closely with product, data, and engineering teams to translate requirements into production-ready AI solutions, integrating large language models (LLMs) and related tools into existing processes. Expectations - Deliver end‑to‑end AI solutions that are production‑grade, maintainable, and scalable. - Translate business needs into technical AI designs. - Iterate on models and workflows based on user feedback, usage metrics, and performance data. - Proactively evaluate emerging AI technologies and assess their fit for current and future use cases. Key Responsibilities 1. Develop and deploy AI workflows and models, focusing on production reliability. 2. Translate product and business requirements into functional AI specifications. 3. Analyze data to identify relevant AI use cases and design corresponding solutions. 4. Integrate LLM APIs for classification, summarization, extraction, and enrichment tasks. 5. Build dashboards or reports (e.g., Metabase, HubSpot) to monitor model performance and usage. 6. Support cross‑functional teams in adopting and effectively using AI tools. 7. Evaluate new AI tools and frameworks, providing pragmatic recommendations. 8. Collaborate with engineering feature teams to incorporate AI components into product releases. Required Skills - 12–18 months hands‑on experience deploying AI tools/workflows in production. - Practical experience with LLM APIs (classification, summarization, extraction, enrichment). - Knowledge of prompting techniques, context handling, and output validation. - SQL proficiency for data extraction and manipulation. - Experience building dashboards or reports (Metabase, HubSpot, or similar). - Strong communication skills and ability to work cross‑functionally. - Comfortable with rapid learning and iterative development. Required Education & Certifications - Bachelor’s degree in Computer Science, Data Science, Machine Learning, or a related technical field. - Certifications in AI/ML or relevant cloud platform services are a plus.

Paris, France

Hybrid

27-02-2026