As you contemplate your future you might be asking yourself Whats the next step? Start your journey with us

Were seeking an experienced AI Engineer to join our Data Science team in Barcelona Hybrid to build the applications and agents that put generative AI in front of over 20 million customers You will be working with the DS ML Engineers and SWE as a handson engineering role designing and building AIpowered products and services while making sure theyre reliable evaluated and safe to ship If youre ready to soar were ready to take you there

Why eDreams ODIGEO

Join the worlds leading travel subscription platform

- We pioneered Prime the first and worlds leading travel subscription programme since launching in 2017
- Millions of Prime members every year across multiple markets
- 5 brands: eDreams GO Voyages Opodo Travellink and the metasearch engine Liligo
- This entire Prime experience is powered by a proprietary industryleading AI platform that delivers a smarter hyperpersonalised service and comprehensive travel experience globally to its members
- Diversity is our strength thats why our eDOers are coming from different nationalities from all continents 99 permanent contracts
- Prime members are subscribed to global travel gaining access to a comprehensive multiproduct offering for all their travel needsincluding hotels rail flights dynamic packages and car rental among others compounded by industryleading flexibility features and exclusive memberonly benefits

What you will do:

The Roles Key Responsibilities

As an eDOer you will have clear objectives great challenges and a clear overview of how your work contributes to the general company project and its customers As a Senior AI Engineer in the Data Science team you will be in charge of:

Design build and ship LLMpowered features chatbots agents RAGbased search etc in close collaboration with Data Science ML Engineering IT and Product Design LLM applications ranging from pragmatic efficient singlemodel calls to sophisticated autonomous agents Use the right frameworks eg LangGraph Google ADK to deliver the required agent architecture manage the underlying LLMs and provide the needed tools and APIs Own context engineering as a firstclass engineering discipline;




treat like code versioning testing and evaluating all model context and configuration Work with ML Engineering to deploy AI applications on our cloud platform GCP reusing existing MLOps infrastructure where it fits and flagging gaps where it doesnt Evaluate monitor and observe AI features in production and build controls to prevent and minimize model failures and security risks;
track model and data drift Trace model calls tool usage and agent decisions Measure costs latency and build failure safety nets guardrails and apply security engineering Stay current on the fastmoving GenAI landscape and bring back whats worth adopting;
share knowledge and best practices across the organisation

What you need to succeed:

Good to have

Bring your unique perspective speak up and offer disruptive solutions Youll have the opportunity to learn and grow while making a real impact on our team Heres what you need to succeed:

Degree in a quantitative or engineering field Computer Science Engineering Mathematics or related;
equivalent handson experience also welcome Demonstrated experience as an AI Engineer Ideally 5 years as a Data Scientist or Software Engineer An excellent production software engineer that understands AI model behavior Strong Python skills with solid software engineering fundamentals: APIs orchestration observability measurement runtime constraints reliability production debugging testing version control code review CICD etc Experience building and orchestrating LLM agents and tool use and a working understanding of prompt engineering and contextwindow management Experience with LLM evaluation methods LLMasjudge human review model based evals taskspecific datasets and production feedback loops plus an instinct for measuring before claiming something works Experience with cloud platforms GCP preferred and shipping APIs or services into production Comfortable working with ambiguity and fastchanging tooling;
pragmatic about pickingthe right level of complexity for the problem Written and oral communication skills in English

Preferred Qualifications





Experience finetuning or distilling openweights models;
exposure to MLOpsLLMOpstooling MLflow Vertex AI Kubeflow;
background in NLP

Whats in it for you?

The best talent deserves the best benefits

At eDO we want you to be a part of our success story and great culture

Heres what we offer:

A rewarding Compensation package Prime Plus membership competitive salary and benefits package including flexible benefits performancebased bonuses birthday day off discounts and partnerships relocation support and premium equipment with rolebased selection options and device ownership through our equipment lifecycle program when it reaches its refresh cycle Continuous learning to fuel your growth and explore new horizons Learn and grow with free Coursera access soft skills workshops tech training leadership development and more Plus enjoy a great onboarding program Grow opportunities to empower your career and unleash your potential Personalised career paths and the eVOLVE Program will help you discover grow and thrive Internal mobility opportunities let you pursue horizontal career changes and promotions Your Wellbeing is our priority Embrace Freedom and Flexibility At eDO we value flexibility employee care and transparency We offer a hybrid homeoffice model focused on outcomes Youll be able to find the right workpersonal life balance that suits you best Work hard party hard We believe in having fun and connecting with colleagues Join eDO for afterwork events padel tournaments parties and more Create communities based on your passions like sports and music Come to work as you are with no dress code and enjoy free fruit coffee and tea at our offices Enjoy a dynamic and healthy environment Be innovative take risks and share your ideas Our diverse and openminded teams support high performance learning and growth Youll work in an Agile mindset environment with recognition at our core

Wanna take a peek into what its like to work at eDO? Follow us on LinkedIn and discover more about life at eDO

If you are ready for a career opportunity with unmatched benefits continuous learning and a supportive worklife balance look no further Take your career to new destinations by applying now and help our diverse inclusive and passionate team shape the future of travel

now

📌 Senior Ai Engineer (Barcelona)
🏢 Edreams Odigeo
📍 Barcelona