AI Engineer
Develop and implement AI-powered applications and intelligent agents using LLMs, RAG, and modern AI frameworks. Collaborate with multidisciplinary teams to translate business requirements into production-ready, scalable AI solutions.
114 AI Engineer jobs in Poland available for remote work from home. Apply for positions such as AI Engineer, AI Engineer, AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Develop and implement AI-powered applications and intelligent agents using LLMs, RAG, and modern AI frameworks. Collaborate with multidisciplinary teams to translate business requirements into production-ready, scalable AI solutions.
Implement and maintain end-to-end AI solutions, focusing on the scalability of LLM pipelines and agentic workflows. Collaborate with product and data teams to integrate production-grade APIs and optimize system performance using evaluation-driven development.
Design and implement AI-powered product features, including assistants, copilots, and agentic workflows within the Creatio platform. Develop backend services using C# and .NET while establishing evaluation frameworks and observability practices for AI solutions.
Build and maintain a multi-agent AI system to automate performance media trading decisions. This includes developing AI agents, integrating media platform data, and establishing evaluation-first development protocols.
You will build production-ready AI backends, RAG pipelines, and agentic workflows to automate complex business processes. Additionally, you will collaborate with international cross-functional teams to deliver predictive models and computer vision solutions.
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You will develop features across the full stack while integrating generative AI capabilities into a multi-tenant SaaS platform. This includes owning features end-to-end, from implementation and instrumentation to monitoring quality, latency, and cost.
The Principal Forward Deployed Engineer will lead the design and deployment of AI/ML-powered solutions while collaborating directly with customers to solve complex problems. They will also mentor senior engineers and ensure technical solutions align with business objectives and regulatory compliance.
Design, train, and deploy computer vision and generative AI models into production pipelines. Build and maintain the supporting infrastructure, including APIs, data pipelines, and monitoring systems to ensure model reliability.
Lead a team of AI engineers to design, build, and deploy production-grade AI services including LLMs, RAG, and agentic workflows. Own the end-to-end technical architecture, evaluation standards, and roadmap alignment with business stakeholders.
You will lead the development of advanced AI solutions by collaborating with data scientists and engineers to build scalable production systems. Key tasks include implementing RAG architectures, managing chunking strategies, and enforcing data governance through attribute-filter injection.
You will lead the architecture and development of production-grade AI agents and intelligence products to optimize payment processes. This involves setting technical direction for agentic systems, ensuring reliability, and mentoring engineers to deliver complex cross-team AI projects.
You will own product areas across financial services like insurance, payments, and savings, defining roadmaps and success metrics. You will collaborate with engineering, design, and business teams to turn complex financial products into simple, usable customer journeys.
You will own product areas within AI Investing, defining user problems, product scope, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
You will own product areas across financial services, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and operations teams to launch features and iterate based on data and user feedback.
You will own product areas within the AI Stockbroking division, defining user problems, roadmaps, and success metrics. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product problems end-to-end, from identifying customer pain points to shipping solutions and measuring their impact. You will leverage AI agents as a force multiplier to build, analyze, and iterate across the full stack.
You will support the development of AI-related initiatives and research emerging technologies within the Chinese tech ecosystem. Additionally, you will collaborate with executive leadership to bridge communication between European and Chinese partners.
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Design and drive the architecture for the AI Intelligence Platform, ensuring scalability, security, and privacy across all components. Own complex technical initiatives from initial design through production while mentoring team members on best practices.
Own product areas within the AI Stockbroking division, defining user problems, roadmaps, and success metrics. Collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product areas within AI Finance, defining roadmaps, success metrics, and user journeys across financial services. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product areas within the AI Investing division, defining roadmaps, success metrics, and user journeys. You will collaborate with engineering, design, and business teams to launch features and iterate based on data and user feedback.
You will own product areas within the AI Neobank, defining user problems, roadmaps, and success metrics while collaborating with cross-functional teams. You are responsible for turning complex financial requirements into simple customer journeys and driving iterations based on data and user feedback.
Design, develop, and optimize accelerated data processing software libraries for GPU and CPU architectures. Collaborate with internal and external partners to define technical roadmaps and provide leadership to library engineering teams.
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You will deliver product features using AI coding agents to write specs and verify generated code with high rigor. Additionally, you will take end-to-end ownership of features, including monitoring performance and improving team workflows with AI tools.
You will design and implement fullstack features for an AI-powered tax platform, taking ownership of the entire development lifecycle from discovery to production. You will collaborate with cross-functional teams to translate user feedback and product needs into high-quality, performant software solutions.
The Lead AI Engineer will bridge the gap between data science and software engineering to productionize AI and machine learning solutions. They will focus on integrating AI models into production systems while ensuring scalability, reliability, and performance.
The Associate Applied AI Engineer will implement engineering solutions using AI-assisted coding tools within a cross-functional pod. They will also validate AI-generated code, perform basic testing, and collaborate with product leads to translate requirements into software.
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