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.
84 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.
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 design, build, and deploy AI and Generative AI solutions, including LLM-powered applications and agent-based workflows. Additionally, you will collaborate with clients to implement RAG pipelines and integrate AI models into cloud-based environments.
Build and maintain secure GitLab CI/CD pipelines, automate vulnerability scanning, and investigate and remediate security issues in container images. Harden and sign container images, enforce security policies throughout the delivery lifecycle, and secure Kubernetes workloads and deployments.
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Design and implement AI agents, prompt-based solutions, and automated workflows for customer-service and payment-related use cases, using Azure Databricks as the primary data and AI environment. Evaluate solution quality and reliability, collaborate with business and technical stakeholders, and support testing and production readiness.
Build multi-agent systems and AI automation workflows, and develop, evaluate, and refine prompt engineering strategies. Integrate LLMs and other AI models into cloud applications and APIs while researching and applying emerging AI tools, models, and frameworks.
Plan, design, and execute test cases for both AI-powered components and traditional software features. Document defect reports, analyze AI model behavior, and collaborate with global engineering teams to ensure quality standards.
You will lead a squad of engineers to build cloud-native, AI-powered digital products while remaining hands-on with frontend, backend, and AI integration tasks. The role involves driving technical decisions, setting engineering standards, and collaborating with US-based clients across time zones.
Design and build agentic AI platform capabilities from the ground up while developing cloud-native enterprise applications. Collaborate with client architects and engineering leaders to deploy and operate solutions within regulated environments.
Lead the architecture and technical direction of AI-powered systems while ensuring scalability, reliability, and performance. Drive the development of LLM integrations and mentor engineering teams to maintain high code quality standards.
Design and develop AI and Machine Learning solutions to address real-world business needs, including intelligent document processing and OCR systems. Collaborate with data engineers, architects, and business stakeholders to integrate AI models into existing business processes.
You will own the end-to-end development and deployment of production AI applications, including LLM workflows, RAG pipelines, and reusable services. You will also collaborate with domain experts to integrate AI capabilities into engineering, manufacturing, and business systems.
You will collaborate with sales teams and enterprise customers to drive the adoption of AI software and hardware solutions. This involves providing technical expertise, conducting workshops, and gathering customer feedback to influence product development.
Design, build, and deploy LLM-powered agents and agentic workflows within production environments. Collaborate with stakeholders to scope use cases while owning the full lifecycle from architecture to ongoing performance monitoring.
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Lead the design, development, and deployment of AI/ML-powered solutions while architecting robust integrations for enterprise-scale systems. Drive data-driven solution development and mentor junior engineers to foster a culture of innovation and technical excellence.
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.
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.
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 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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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.
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