Remote General AI Platform Lead

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.

You will be:

• designing, developing, and optimizing GenAI based products and solutions,
• preparing documentation of all designs and development,
• working in Scrum, attending Agile ceremonies and presenting the development work incrementally, contributing to mission-critical projects by utilizing backlog items and priorities set by the Product Owner,
• staying at the forefront of developments in GenAI, continuously advancing your own and your team’s technical skills,
• sharing insights and best practices within your team and across the organization to foster innovation and drive results,
• leading the GenAI Platform Chapter, ensuring your team delivers top-tier expertise and resources to various teams,
• developing and mentoring team-members, providing feedback and overseeing their progress to strengthen their knowledge in GenAI and related areas.

Requirements

Your profile:

• 14+ years in delivering platform or complex technology solutions, with a deep technical background, ideally in a global enterprise setting,
• 8+ years of leading large-scale engineering or platform teams,
• strong programming skills in Python, TypeScript, and associated GenAI libraries and frameworks,
• 2+ years of hands-on experience experimenting and developing with LLMs,
• 1+ years of experience using LLMs in production environments,
• strong knowledge of Generative AI technologies, including key APIs (AWS Bedrock, Azure OpenAI, OpenAI) and LLM frameworks (LangChain, LlamaIndex).
• extensive experience with cloud infrastructure for AI/GenAI/ML on AWS, Azure, or GCP, including containerization and orchestration (Kubernetes, Docker),
• proficiency in modern engineering and DevOps practices (CI/CD pipelines, AI/ML automation),
• expertise in building enterprise-grade, secure data ingestion pipelines for unstructured data – including indexing, search, and advanced retrieval patterns,
• hands-on experience with knowledge graphs,
• experience with RAG concepts and fundamentals,
• experience with containerization and orchestration technologies (Kubernetes, Docker),
• knowledge of training and fine-tuning Foundation Models, including multimodal inputs and outputs,
• very good verbal and written communication skills in English.

Work from the European Union region and a work permit are required.

Nice to have:

• experience with LLM guardrails, security, and monitoring,
• expertise in LLM testing and evaluation frameworks.

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision