Senior AI Platform Engineer

XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest FinTech in Poland and a leader in Central and Eastern Europe, and the range of our operations covers several countries, including Asia and South America. At XTB, we focus on the development of our employees, giving them opportunities to gain knowledge and skills in various fields, as well as offering a number of training and development programs. If you are looking for challenges and want to gain valuable experience in an international business environment, XTB is the right place for you.

We are a certified Great Place to Work company.

We are seeking a Senior AI Engineer with strong platform engineering and DevOps expertise to design, build, and maintain a cutting-edge developer platform that empowers teams to build and deploy AI-driven solutions at scale. This role bridges software engineering excellence with AI tool orchestration, focusing on creating self-service platforms for LLM integration, agentic workflows, and enterprise AI infrastructure.

• 4+ years as a Platform Engineer, Backend Engineer, or AI Engineer with hands-on platform/service delivery experience.
• Strong software engineering fundamentals: proficiency in Python and/or Go/Java, clean code practices, system design.
• Production experience with container orchestration (Kubernetes) and ArgoCD for GitOps deployments.
• Expert-level knowledge of GitLab CI/CD: designing reliable pipelines, managing deployments, optimizing build efficiency.
• Practical experience with LLM frameworks and agentic systems (LangGraph, Pydantic AI, or equivalent).
• Working knowledge of RAG systems: vector databases, similarity search, prompt engineering for retrieval-augmented contexts.
• Understanding of LLM routing and optimization: cost-aware model selection, latency reduction, multi-model orchestration.
• Experience building or managing gateway/proxy infrastructure (API gateways, reverse proxies, load balancing).
• Strong foundation in infrastructure-as-code, version control (Git), and CI/CD best practices.
• Excellent communication: ability to work with AI/ML teams, data engineers, and product managers to translate requirements into platform solutions.

Nice to have:

• Experience building prompt management and versioning systems.
• Knowledge of semantic caching or prompt optimization techniques.
• Experience with multi-tenant SaaS architecture or platform-as-a-service (PaaS) design.
• Familiarity with evaluation frameworks for LLM outputs or agentic behavior.
• Experience with vector database optimization or semantic search.
• Knowledge of advanced deployment patterns (canary, blue-green, A/B testing) for AI services.