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.
Responsibilities
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 LangGraph-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 GitOps-driven AI service deployments.
Establish CI/CD infrastructure using GitLab 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.
Requirements
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.
What we offer
Real influence on the development of the company and the product.
Work in an experienced team that is happy to share its knowledge.
A clear vision of development thanks to regular feedback and clear career paths.
Regular team-building meetings.
Benefits
A training budget for courses and conferences that interest you.
An extra day off on your birthday.
An extra day off for parents.
Equipment tailored to your needs.
Private medical care and group insurance.
Access to an e-learning platform for learning English and a benefits platform.
Access to a wellbeing platform and the opportunity to take advantage of workshops and private therapy sessions.
Remote work, from the office in Warsaw or from a coworking space in your city.
Skills Required
- 4+ years as a Platform Engineer, Backend Engineer, or AI Engineer with platform/service delivery experience
- Proficiency in Python and/or Go or Java
- Production experience with Kubernetes (container orchestration) and ArgoCD for GitOps deployments
- Expert-level knowledge of GitLab CI/CD, designing reliable pipelines and managing deployments
- Practical experience with LLM frameworks and agentic systems (e.g., LangGraph, Pydantic AI, or equivalent)
- Working knowledge of RAG systems including vector databases, similarity search, prompt engineering, and chunking strategies
- Understanding of LLM routing, cost-aware model selection, latency optimization, and 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 skills; ability to collaborate with AI/ML teams, data engineers, and product managers
- 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
- Knowledge of advanced deployment patterns (canary, blue-green, A/B testing) for AI services
What We Do
XTB is a Poland-based online trading and investment company that provides access to thousands of CFDs on currencies, indices, commodities, stocks and ETFs, as well as real stocks, ETFs and Investment Plans. It combines proprietary financial technology, including the xStation platform, with brokerage, investing and savings services, aiming to operate as an all-in-one investment application for clients across international markets.
