ml engineer in fintech

Описание: XTB is a global financial company focused on online trading of financial instruments. It operates across several countries, including markets in Asia and South America, and is a leading FinTech in Poland and Central and Eastern Europe. Задачи: Implement and maintain end-to-end AI solutions focused on robust and scalable LLM pipelines and agentic workflows; Develop and optimize RAG systems and AI agents using modern frameworks; Build and integrate production-grade APIs, including gRPC and MCP, for the global trading platform and internal business units; Measure agent performance using LLMOps tracing, MLOps evaluations, latency, and error-rate metrics; Apply evaluation-driven development with RAG-eval, LLM-as-a-judge techniques, and model benchmarking; Collaborate with Product and Data teams to build and maintain MCP servers and data-serving layers with real-time enterprise data; Maintain code quality through unit tests, linters, type-checkers, documentation, and code reviews; Leverage Claude Code and Codex in daily development and share learnings with the team. Требования: 2–5 Years of commercial experience in AI/ML or Software Engineering with systems deployed to production; Modern Python skills and understanding of AI Agent architectures, including context engineering, tool calling, skills, and agent loops; Hands-on experience developing MCP servers or custom tool-calling interfaces; Practical experience with LLM orchestration and data frameworks such as LangGraph or LangChain; Experience building and maintaining production-grade REST, gRPC, and MCP APIs; Understanding of PostgreSQL, pgvector, and semantic, hybrid, and BM25 search strategies; Familiarity with MLOps and LLMOps, including MLflow or Langfuse, automatic evaluations, and prompt optimization; Strong communication and collaboration skills in an Agile, cross-functional environment; English for professional collaboration; Experience monitoring application health and performance with Prometheus and Grafana; Nice to have: AI Agent evaluation, dataset curation, statistical metrics with confidence intervals, LLM-as-a-judge calibration, financial systems or trading, regulated fintech, LLM red teaming, adversarial testing, anti-jailbreak policies, context compression, prompt caching. Условия: 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 your birthday; Extra day off for parents; Equipment tailored to your needs; Private medical care and group insurance; Access to an English e-learning platform and benefits platform; Access to a wellbeing platform, workshops, and private therapy sessions; Remote work from the office in Warsaw or from a coworking space in your city.