Google Cloud AI Engineer

Description

Job Summary: We are seeking a passionate Google Cloud AI Engineer specializing in generative AI to develop cutting-edge conversational solutions. Key Highlights: 1. Lead generative AI innovation at Google Cloud. 2. Develop intelligent conversational agents using Vertex AI Agent Builder. 3. Use LangChain and LangGraph for complex conversation flows. **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 while always preserving the closeness and professionalism of a team acting as a guide along the way. Devoteam has been committed for over 30 years to technology serving people. We have more than 11,000 employees across the group, distributed across 25 countries in Europe, the Middle East, and Africa. **Job Description** We are seeking a Google Cloud AI Engineer passionate about generative AI and experienced in building intelligent conversational agents. In this role, you will be at the forefront of innovation, leveraging technologies such as Vertex AI Agent Builder, large language models (LLM), retrieval\-augmented generation (RAG), LangChain, and LangGraph—to develop cutting-edge conversational solutions on the Google Cloud platform. **Responsibilities** * Design, develop, and deploy intelligent conversational agents using Vertex AI Agent Builder. * Integrate Google Cloud and third-party LLMs into conversational agents to enhance natural language understanding and response generation. * Implement RAG techniques to connect conversational agents with external data sources and deliver precise, contextually relevant responses. * Use LangChain and LangGraph to build complex conversation flows and orchestrate interactions among different AI components. * Optimize 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. **Requirements** **Requirements** * Hands-on experience developing 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 LangChain and LangGraph. * Strong programming skills in Python. * Excellent communication and teamwork skills. **Nice-to-have** * Experience with Google Cloud Platform and its AI services. * Knowledge of natural language processing (NLP) techniques. * Experience developing applications with Google’s LLMs, such as PaLM. * Google Cloud certifications. * Contributions to open-source projects related to generative AI or conversational agents.