AI Engineer

🔥 0 minutes ago

🇵🇱 Poland – Remote

💵 zł15.3k - zł19.4k / month

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 0%

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Logo of XTB online investing

XTB online investing

1001 - 5000 employees

Founded 2004

💳 Fintech

💸 Finance

👥 B2C

💰 $194.1M Post-IPO Secondary - Xtb on 2025-05

Fintech • Finance • B2C

XTB online investing is an international online brokerage and investing platform offering access to equities, ETFs, forex, commodities, indices and leveraged CFD instruments through award‑winning web and mobile apps. The firm provides both commission‑free stock and ETF trading (within limits), CFD trading across thousands of instruments, educational resources, market analysis, interest on uninvested funds, and tax‑wrapped ISA products for UK clients; it is regulated by the UK FCA and advertises FSCS protection and consumer risk disclosures. The platform is consumer‑facing, emphasizes digital security and customer support, and highlights over 20 years of industry experience and multiple million users.

📋 Description

• Implement and maintain end-to-end AI solutions, focusing 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 (gRPC, MCP) for the global trading platform and internal business units • Measure agent performance using agent tracing, automated 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 • Use agentic coding tools such as Claude Code and Codex to maximize engineering efficiency and share learnings

🎯 Requirements

• 2-5 years of commercial experience in AI/ML or Software Engineering, with a proven track record of deploying systems to production • Ability to write modern, Pythonic code • Solid understanding of AI Agent architectures, including context engineering, tool calling, skills and agent loops • Hands-on expertise in developing Model Context Protocol (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 APIs (REST, gRPC, and MCP) • Solid understanding of PostgreSQL, pgvector, and advanced search strategies (semantic, hybrid, BM25) for AI Agents • Familiarity with MLOps/LLMOps concepts, including basic observability (MLflow or Langfuse), automatic evaluations, and prompt optimizations • Strong communication skills and ability to collaborate effectively in an Agile, cross-functional environment in English • Strong understanding of engineering best practices • Hands-on experience monitoring application health and performance using Prometheus and Grafana • Nice to have: hands-on experience in AI Agent evaluation, financial systems/trading or regulated fintech, AI security and red teaming, adversarial testing, anti-jailbreak policies, cost and latency optimization, context compression, and prompt caching

🏖️ Benefits

• 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 • 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

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