platform engineer for AI infrastructure

XTB is a global financial industry company focused on online trading of financial instruments. It is the largest FinTech in Poland and a leader in Central and Eastern Europe, operating across several countries in Asia and South America.

• Design and implement an enterprise AI platform with LLM-based routing, intelligent model selection, fallback strategies, and cost optimization;
• Build and maintain MCP gateway infrastructure integrating enterprise tools and internal data with AI agents;
• Architect LangGraph-based orchestration frameworks for complex agentic workflows;
• Implement RAG platform components, including vector search integration, prompt optimization, and chunking strategies;
• Establish observability with tracing, cost monitoring, token usage analytics, and LLM quality metrics;
• Design and optimize APIs for LLM interactions;
• Build deployment and orchestration pipelines with Kubernetes and ArgoCD;
• Establish GitLab CI/CD infrastructure for automated testing, deployment, and versioning;
• Implement security, authentication, rate limiting, and multi-tenant isolation for AI endpoints;
• Create self-service developer interfaces and documentation;
• Design prompt management and versioning systems;
• Lead technical initiatives, conduct code reviews, mentor engineers, and foster an AI-first engineering culture.

• 4+ Years as a Platform Engineer, Backend Engineer, or AI Engineer with hands-on platform or service delivery experience;
• Strong software engineering fundamentals, including Python and/or Go/Java, clean code practices, and system design;
• Production experience with Kubernetes and ArgoCD for GitOps deployments;
• Expert-level knowledge of GitLab CI/CD;
• Practical experience with LLM frameworks and agentic systems such as LangGraph or Pydantic AI;
• Working knowledge of RAG systems, vector databases, similarity search, and prompt engineering;
• Understanding of LLM routing and optimization, including cost-aware model selection, latency reduction, and multi-model orchestration;
• Experience building or managing API gateways, reverse proxies, or load-balancing infrastructure;
• Strong foundation in infrastructure-as-code, Git, and CI/CD best practices;
• Excellent communication skills and ability to work with AI/ML teams, data engineers, and product managers;
• Nice to have: experience with prompt management and versioning systems, semantic caching or prompt optimization, multi-tenant SaaS architecture or PaaS design, LLM evaluation frameworks, vector database optimization or semantic search, advanced deployment patterns such as canary, blue-green, and A/B testing.

• Real influence on company and product development;
• Experienced team with knowledge sharing;
• Regular feedback and clear career paths;
• Regular team-building meetings;
• Training budget for courses and conferences;
• Extra day off on birthdays;
• Extra day off for parents;
• Equipment tailored to individual needs;
• Private medical care and group insurance;
• Access to English-learning and benefits platforms;
• Access to a wellbeing platform, workshops, and private therapy sessions;
• Remote work, from the office in Warsaw or from a coworking space in the employee’s city.