Gen AI Platform Lead

October 24

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Xebia Poland

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Software Development • Agile Development • DevOps • Scrum • Mobile Applications

1001 - 5000

Description

• 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

• 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.