Senior AI Engineer

XTB is a global company from the financial industry, focusing on online trading of financial instruments. We are the largest Fin Tech 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 Dev Ops expertise to design, build, and maintain a cutting‑edge developer platform that empowers teams to build and deploy AI‑driven solutions s role bridges software engineering excellence with AI tool orchestration, focusing on creating self‑service platforms for LLM integration, agentic workflows, and enterprise AI infrastructure.

• Design and implement an enterprise AI platform with LLM‑based routing, intelligent model selection, fallback strategies, and cost optimization.
• Build and maintain MCP (Model Context Protocol) gateway infrastructure enabling seamless integration of enterprise tools and internal data with AI agents.
• Architect Lang Graph‑based orchestration frameworks for complex agentic workflows, enabling developers to compose multi‑step AI applications.
• Implement RAG (Retrieval‑Augmented Generation) platform components: vector search integration, prompt optimization, and chunking strategies.
• Establish comprehensive observability using Langfuse and similar tools: tracing, cost monitoring, token usage analytics, and LLM quality metrics.
• Design and optimize APIs for LLM interactions, enabling developers to access platform capabilities seamlessly.
• Build deployment and orchestration pipelines using Kubernetes (K8s) with ArgoCD for Git Ops‑driven AI service deployments.
• Establish CI/CD infrastructure using Git Lab CI/CD for automated testing, deployment, and versioning of AI platform components.
• Implement security, authentication, and rate limiting for AI endpoints protecting against abuse and ensuring multi‑tenant isolation.
• Create self‑service developer interfaces and documentation enabling non‑AI‑experts to build sophisticated agentic applications.
• Design prompt management and versioning systems, enabling teams to collaborate on prompts and track performance across versions.
• Lead technical initiatives, conduct code reviews, mentor engineers, and foster AI‑first engineering culture.

• 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 Git Ops deployments.
• Expert‑level knowledge of Git Lab CI/CD: designing reliable pipelines, managing deployments, optimizing build efficiency.
• Practical experience with LLM frameworks and agentic systems (Lang Graph, 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.

• Experience building prompt management and versioning systems.
• Knowledge of semantic caching or prompt optimization techniques.
• Experience with multi‑tenant SaaS architecture or PaaS design.
• Familiarity with evaluation frameworks for LLM outputs or agentic behavior.
• Experience with vector database optimization or semantic search.
• Kno…