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The project focuses on building scalable, reusable AI capabilities, including LLM-based applications, RAG pipelines, AI agents, tool use, orchestration, and evaluation frameworks.\nYou will work on both prototyping and production-grade AI systems, help establish engineering standards and best practices, and contribute to AI-native software development and automation.\nProject details:\nWork model: 100% remote\nContract: B2B\nRate: up to 120 PLN/h nett + VAT\nStart: ASAP\nProject model: Outsourcing\nRecruitment process: 2 stages – HR interview + technical interview with the Hiring Manager\nEngagement: Full-time\nZakres obowiązków\nDesign and develop production-grade GenAI solutions, including LLMs, RAG, AI agents, tool use, and orchestration.\nBuild reusable AI capabilities and services that can be adopted across multiple products.\nDesign and implement AI evaluation frameworks focused on quality, reliability, latency, cost, and grounding.\nDevelop AI-native engineering practices, including Spec-Driven Development, AI-assisted development, and automated testing.\nEnsure AI solutions meet standards for security, observability, governance, reliability, and responsible AI use.\nCollaborate with Product, Engineering, and Business stakeholders, while supporting other engineers through technical guidance, code reviews, and knowledge sharing.\nWymagania\n5+ years of software engineering experience, including hands-on experience with production AI systems.\nStrong Python programming skills.\nHands-on experience with Generative AI, LLMs, RAG, AI agents, tool/function calling, and orchestration.\nPractical experience with Azure and/or AWS cloud platforms.\nExperience designing and delivering end-to-end AI systems from APIs and data/retrieval layers to cloud infrastructure and production deployment.\nExperience with AI evaluation and testing, including quality, reliability, grounding, latency, and cost.\nUnderstanding of AI-assisted development, Spec-Driven Development, 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