We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior GenAI Engineer at Xebia. Location Information: Remote job. . Hello, let’s meet!. We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.. We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.. Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.. Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.. Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.. What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!. Now, we've talked a lot about ourselves – but we'd love to hear more about you.. Send us your resume to start the conversation and join the #Xebia.. This role focuses on developing and deploying AI applications using tools such as Azure AI Studio, vector databases, and Retrieval-Augmented Generation (RAG) frameworks. You will collaborate closely with senior team members to deliver robust, high-quality solutions that drive innovation. . You will be:. designing, developing, and implementing AI solutions using Python, with a focus on LLMs, vision models, and generative AI technologies, . building, testing, and optimizing RAG applications, leveraging effective prompt engineering techniques to improve model performance, . integrating AI models with Azure AI Studio, SharePoint, and Azure Blob Storage for efficient deployment and data handling, . utilizing vector databases and Agentic frameworks (e.g., LlamaIndex) to enhance the functionality and intelligence of AI systems, . implementing event-driven architectures using tools like Event Hub and Kafka for real-time data processing and scalability, . collaborating with the AI Lead and team members to troubleshoot issues, test models, and ensure successful deployment, . writing clean, efficient, and well-documented code adhering to best practices and version control standards, . staying current with emerging AI tools, frameworks, and technologies to continuously improve development processes and outcomes. . . Requirements. . Your profile:. Bachelor's degree in computer science, Data Science, Engineering, or a related field, . 4+ years of hands-on experience in AI/ML development, with an emphasis on generative AI and related technologies, . strong experience with Python, REST APIs, Git . proven expertise in developing and deploying LLMs, vision models, vector databases, and RAG applications, . strong proficiency in Azure AI Studio, Azure Blob Storage, Event Hub, Kafka, . familiarity with Agentic frameworks and tools like LlamaIndex for advanced AI development, . ability to thrive in a collaborative team environment while managing multiple tasks effectively, . good verbal and written communication skills in English (min. B2), . work from the European Union region and a work permit are required.. . Nice to have:. previous exposure to cloud fundamentals (Azure preferred) and containerization tools like Docker, . experience with CI/CD . pipelines. for AI model deployment, . understanding RESTful services and API integration. . Recruitment Process:. CV. review –. HR. call – . Interview. (with Live-coding) – . Client . Interview (with Live-coding) – Hiring Manager Interview - . Decision. .