Job Opportunities API

XTB is a global company from the financial industry, focusing on online trading of financial instruments. They are the largest FinTech in Poland and a leader in Central and Eastern Europe. As a Senior AI Engineer, you will be the technical authority for their LLMOps and Agentic strategy, building resilient, enterprise-grade systems where evaluation-driven development and full-stack observability are core requirements. Responsibilities • Design and scale resilient, end-to-end architectures for LLM and agentic solutions within a high-load, low-latency fintech environment • Act as a strategic technical partner to the Head of AI, leading architectural reviews and Buy vs Build analyses for greenfield AI projects • Take full ownership of the AI product lifecycle, establishing rigorous standards for LLMOps, FinOps, and automated deployment pipelines from PoC to production • Spearhead the adoption of Agentic Evals and RAG-eval frameworks to turn fine-grained observability signals into actionable system improvements • Collaborate with Data and Product teams to architect AI-ready data layers and MCP servers, ensuring seamless agentic access to semantic layers in Snowflake and Databricks • Foster a culture of technical excellence by mentoring engineers and defining best practices for AI-assisted development (Claude Code, Cursor) to elevate team productivity • Bridge technical complexity with business ROI, ensuring all solutions adhere to financial AI Governance and security standards Requirements • 5+ years of experience in architecting and deploying production-grade AI/ML solutions in Azure, GCP, or AWS ecosystems, with mastery of Python and full ML lifecycle • Deep hands-on expertise with LLM orchestration and data frameworks like LlamaIndex, LangGraph, or PydanticAI and building complex, multi-step agentic workflows • Practical experience in developing and deploying Model Context Protocol (MCP) servers to expose enterprise tools and internal data to AI agents • Strong background in MLOps and LLMOps pipelines, including model versioning, automated deployment, and full-stack observability for deterministic and agentic services • Practical experience in implementing evaluation-driven development using frameworks like RAG-eval and agentic evaluations to measure reasoning and tool-calling accuracy • Proficiency in building high-performance APIs with FastAPI and designing semantic layers on top of enterprise data platforms such as Snowflake or Databricks, integrated with vector databases (e.g., Weaviate, pgvector) • Ability to perform Buy vs Build analyses and translate business requirements into technical architectures that balance innovation with ROI and FinOps • Experience in leading technical initiatives, conducting rigorous code reviews, and mentoring other engineers • Excellent communication skills and ability to work cross-functionally with data engineers and product managers in English Nice to Have • Mastery of Claude Code, Cursor, or GitHub Copilot and a track record of implementing AI-assisted engineering best practices • Previous experience in fintech, specifically within trading platforms, risk modeling, or high-frequency data environments • Familiarity with Small Language Models (SLM) and techniques for strategic cost and latency optimization • Solid understanding of Data Engineering fundamentals, including Spark, Kafka, and modern Lakehouse architectures Benefits • Real impact on the development of the company and the product • Work in an experienced team that shares knowledge • Regular feedback and clear career paths • Training budget for courses and conferences • Extra day off on birthday and for parents • Equipment tailored to needs • Private medical care and group insurance • Access to e-learning platform and benefits platform • Access to wellbeing platform with workshops and private therapy sessions • Remote work, from office in Warsaw, or coworking space • Regular team-building meetings Salary: 19,000-22,500 PLN gross/month. Location: Wroclaw, Poland (hybrid, with remote/Warsaw/coworking options).