Devoteam is a leading European consulting firm specializing in digital strategy, cloud platforms, and cybersecurity. With a workforce of over 10,000 professionals across more than 20 countries, the company serves as a strategic partner to major technology providers including Google Cloud, AWS, Microsoft, and ServiceNow, helping large enterprises navigate their digital transformation journeys.

In Spain, Devoteam maintains a robust presence with major operations in Madrid and Barcelona, focusing on high-demand sectors like cloud engineering, data analytics, and IAM security. The company is highly relevant for international professionals due to its multicultural environment, project-based work with global clients, and a flexible work culture that often includes 100% remote or hybrid options for technical roles.

Founded in 1995 in France by Godefroy and Stanislas de Bentzmann, Devoteam has grown from a local consultancy into a major European IT powerhouse. The company underwent a significant transformation in 2021, returning to private ownership to focus on its 'Infinite' strategic plan centered on cloud and data technologies.

For international professionals

Strategic partner for major cloud providers, offering extensive certification opportunities in AWS, Google Cloud, and Azure.
Multilingual work environment with numerous roles requiring English (C1) or French proficiency.
Flexible work-from-home policies, including several 100% teleworking positions for cloud and software engineers.
Strong focus on professional development through the Devoteam Academy and internal mobility programs.

Google Cloud AI Engineer

DEVOTEAM

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Requirements

Qualifications

Requirements

Hands-on experience in the development of conversational agents or chatbots.
Solid understanding of generative AI concepts, including LLMs, RAG, and dialogue models.
Experience with Vertex AI Agent Builder, Dialogflow, or similar platforms.
Familiarity with tools and frameworks such as ADK, LangChain, or AWS Strands.
Strong programming skills in Python.
Excellent communication and teamwork skills.

Bonus points

Experience with Google Cloud Platform and its AI services.
Knowledge of natural language processing (NLP) techniques.
Experience in developing applications with Google LLMs, such as PaLM.
Google Cloud certifications.
Contributions to open-source projects related to generative AI or conversational agents.
Experience with Data Warehouse & Processing: BigQuery, Apache BigData or similar.

Benefits

Additional Information

Job Description

Company Description

Devoteam is a leading European consultancy specializing in digital strategy, technology platforms, cybersecurity, and business transformation through technology.
Technology is part of our DNA and we believe in it as a lever capable of driving positive change, maintaining a balance that allows us to offer our client portfolio top-tier technological tools, but always with the proximity and professionalism of a team that acts as a guide along the way.
Devoteam has been committed to technology at the service of people for over 30 years. We have more than 11,000 employees in the group, spread across 25 countries in Europe, the Middle East, and Africa.

Job Description

We are looking for a Google Cloud AI Engineer passionate about generative AI and experienced in creating intelligent conversational agents. In this role, you will be at the forefront of innovation, using technologies such as Vertex AI Agent Builder, large language models (LLM), retrieval-augmented generation (RAG), LangChain, and LangGraph, among others, to develop cutting-edge conversational solutions on the Google Cloud platform.

Responsibilities

Design, develop, and implement intelligent conversational agents using Vertex AI Agent Builder.
Integrate Google Cloud and third-party LLMs into conversational agents to improve natural language understanding and response generation.
Implement RAG techniques to connect conversational agents with external data sources and provide accurate, contextualized responses.
Use LangChain and LangGraph to build complex conversation flows and orchestrate the interaction between different AI components.
Optimize the performance and scalability of conversational agents on Google Cloud.
Apply prompt engineering best practices to improve the quality and efficiency of interactions with LLMs.
Collaborate with UX designers and other engineers to create engaging and intuitive user experiences.
Stay up to date with the latest research and trends in generative AI.

View original advert (Spanish)

Company Description

Devoteam es una consultora europea líder especializada en estrategia digital, plataformas tecnológicas, ciberseguridad y transformación empresarial a través de la tecnología.
La tecnología forma parte de nuestro ADN y creemos en ella como una palanca capaz de impulsar un cambio positivo, manteniendo un equilibrio que nos permite ofrecer a nuestra cartera de clientes herramientas tecnológicas de primer nivel, pero siempre con la cercanía y la profesionalidad de un equipo que actúa como guía a lo largo del camino.
Devoteam lleva más de 30 años comprometida con la tecnología al servicio de las personas. Contamos con más de 11 000 empleados en el grupo, repartidos por 25 países de Europa, Oriente Medio y África.

Job Description

Buscamos un Ingeniero de IA de Google Cloud apasionado por la IA generativa y con experiencia en la creación de agentes conversacionales inteligentes. En este puesto, estarás a la vanguardia de la innovación, utilizando tecnologías como Vertex AI Agent Builder, large language models (LLM), retrieval-augmented generation (RAG), LangChain y LangGraph, entre otros, para desarrollar soluciones conversacionales de vanguardia en la plataforma Google Cloud.

Responsabilidades

Diseñar, desarrollar e implementar agentes conversacionales inteligentes utilizando Vertex AI Agent Builder.
Integrar LLMs de Google Cloud y de terceros en agentes conversacionales para mejorar la comprensión del lenguaje natural y la generación de respuestas.
Implementar técnicas de RAG para conectar agentes conversacionales con fuentes de datos externas y proporcionar respuestas precisas y contextualizadas.
Utilizar LangChain y LangGraph para construir flujos de conversación complejos y orquestar la interacción entre diferentes componentes de IA.
Optimizar el rendimiento y la escalabilidad de los agentes conversacionales en Google Cloud.
Aplicar las mejores prácticas de ingeniería de prompts para mejorar la calidad y la eficiencia de las interacciones con LLMs.
Colaborar con diseñadores de UX y otros ingenieros para crear experiencias de usuario atractivas e intuitivas.
Mantenerse al día con las últimas investigaciones y tendencias en IA generativa.