Senior AI Engineer

eDreams ODIGEO; Barcelona; Presencial; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Coursera access for learning

Relocation support

Descripción de la vacante

eDreams ODIGEO is seeking an experienced AI Engineer to join the Data Science team in Barcelona (Hybrid). You will design and build AI-powered products and services, including chatbots, agents, and RAG-based search, collaborating with DS, ML Engineering, and SWE.

You’ll own context engineering, deploy on GCP, and ensure reliability, safety, and observability of models in production. You should bring 5+ years in AI/Data Science or software engineering, strong Python and cloud experience, and

Formación

• Strong Python programming skills with production software engineering fundamentals.
• Experience building and deploying AI/ML features in production environments.
• Familiarity with APIs, orchestration, observability and CI/CD.
• Experience with LLM agents, tool use and prompt engineering.
• Knowledge of cloud platforms (GCP preferred) and deploying APIs/services.

Responsabilidades

• Design, build and ship LLM-powered features (chatbots, agents, RAG-based search).
• Design LLM applications ranging from single-model calls to autonomous agents.
• Own context engineering with versioning, testing and evaluation.
• Deploy AI applications on our cloud platform (GCP) and reuse MLOps infra.
• Monitor and observe AI features in production; implement guardrails and security.
• Stay current with GenAI trends and share best practices.

Conocimientos

Python

Software engineering fundamentals

LLM/AI experience

English communication

Educación

Bachelor's in Computer Science or related

Herramientas

GCP

LangGraph

Google ADK

Descripción del empleo

As you contemplate your future, you might be asking yourself, ” What’s the next step?’’ Start your journey with us!

We’re 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 hands-on engineering role designing and building AI-powered products and services while making sure they’re reliable, evaluated and safe to ship. If you’re ready to soar, we’re ready to take you there.

Why eDreams ODIGEO

Join the world’s leading travel subscription platform…

• We pioneered Prime, the first and world’s 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, industry-leading AI platform that delivers a smarter, hyper-personalised service and comprehensive travel experience globally to its members.
• Diversity is our strength that’s 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 multi-product offering for all their travel needs—including hotels, rail, flights, dynamic packages and car rental, among others— compounded by industry-leading flexibility features and exclusive, member-only benefits.

What you will do:

The Role’s Key Responsibilities

As an eDOer, you will have clear objectives, great challenges and a clear overview of how your work contributes to the global 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 LLM-powered features (chatbots, agents, RAG-based search, etc) in close collaboration with Data Science, ML Engineering, IT, and Product.
• Design LLM applications ranging from pragmatic efficient single-model calls to sophisticated autonomous agents. Use the right frameworks (e.g. 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 first-class 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 doesn’t.
• 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 fast-moving GenAI landscape and bring back what’s 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. You’ll have the opportunity to learn and grow while making a real impact on our team. Here’s what you need to succeed:

• Degree in a quantitative or engineering field (Computer Science, Engineering, Mathematics, or related); equivalent hands‑on 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, CI/CD, etc.
• Experience building and orchestrating LLM agents and tool use, and a working understanding of prompt engineering and context‑window management.
• Experience with LLM evaluation methods (LLM-as-judge, human review, model based evals, task‑specific 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 fast‑changing tooling; pragmatic about picking the right level of complexity for the problem.
• Written and oral communication skills in English.

Preferred Qualifications

• Experience fine‑tuning or distilling open‑weights models; exposure to MLOps/LLMOps tooling (MLflow, Vertex AI, Kubeflow); background in NLP.

What’s 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.

Here’s what we offer:

• A rewarding Compensation package! Prime Plus membership, competitive salary and benefits package, including flexible benefits, performance‑based bonuses, birthday day off, discounts and partnerships, relocation support and premium equipment with role‑based 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 Well‑being is our priority. Embrace Freedom and Flexibility! At eDO, we value flexibility, employee care, and transparency. We offer a hybrid home‑office model focused on outcomes. You’ll be able to find the right work‑personal life balance that suits you best.
• Work hard, party hard! We believe in having fun and connecting with colleagues! Join eDO for after‑work 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 open‑minded teams support high performance, learning, and growth. You’ll work in an Agile mindset environment with recognition at our core.

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

We are an equal‑opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. Our people are the key to our success. Each one of them is unique in their own way and the respect for their uniqueness is and will always be a passion and motivation. Don’t meet every requirement? If you’re excited about this role but do not feel your experience aligns perfectly with all the requirements we strongly encourage you to apply nevertheless.