Job description
Description
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.
GenAI Lead will take ownership of designing, developing, and deploying advanced AI solutions, specializing in machine learning, deep learning, and generative AI technologies. This role demands a strategic leader with deep technical expertise to architect scalable GenAI solutions, guide a team of AI professionals, and deliver transformative business outcomes through innovative AI applications.
You will be:
designing and implementing scalable Generative AI (GenAI) systems using Large Language Models (LLMs), vision models, and vector databases,
leading the design, development, and deployment of AI-driven solutions, including machine learning models, deep learning frameworks, and generative AI applications,
overseeing seamless integration of AI solutions with Azure AI Studio, SharePoint, and Power BI for deployment, reporting, and visualization,
collaborating with cross-functional teams to shape AI strategies and deliver high-impact solutions,
providing technical leadership in implemention of Agentic frameworks and tools like LlamaIndex to advance AI workflows,
mentoring and empowering a team of AI developers, fostering a culture of innovation, collaboration, and technical excellence,
staying at the forefront of AI advancements, proposing creative and practical solutions to address complex challenges,
enforcing best practices in code quality, model optimization, and solution scalability to ensure robust production-ready systems.
Requirements
Your profile:
Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field (PhD preferred),
8+ years of hands-on experience in AI/ML development, including at least 3 years in leadership or solution architect capacity,
demonstrated success in delivering machine learning, deep learning, and generative AI projects in production environments,
exceptional programming proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or equivalent.
in-depth expertise in LLMs, vision models, vector databases, and RAG applications,
strong command of Azure AI Studio, SharePoint, and basic Power BI for integration and reporting purposes,
proven experience with Agentic frameworks and tools like LlamaIndex for intelligent system development,
outstanding problem-solving abilities, with a knack for translating business needs into technical solutions,
superior communication and leadership skills to manage teams, align stakeholders, and drive project success,
excellent verbal and written communication skills in English (min. C1),
work from the European Union region and a work permit are required.
Nice to have:
experience with cloud platforms beyond Azure (e.g., AWS, GCP),
knowledge of DevOps practices (e.g., CI/CD pipelines, Kubernetes),
familiarity with AI ethics, governance, and compliance standards,
exposure to advanced visualization tools or BI platforms.
Recruitment Process:
CV review – HR call – Interview (with Live-coding) – Client Interview (with Live-coding) – Hiring Manager Interview - Decision
