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.
99 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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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.
Own the technical strategy and architecture for major areas of the Voyager SDK application layer, including model deployment, pipeline development, image processing, framework integration, and model evaluation. Improve end-to-end performance through profiling and bottleneck resolution, while guiding technical direction, mentoring engineers, and representing the team to stakeholders and customers.
You will design, build, and deploy production-ready Agentic AI solutions using Palantir Foundry and AIP within a cross-functional team. The role involves developing modular AI agents, managing data pipelines, and collaborating with stakeholders to deliver impactful business use cases.
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.
The role involves building and hardening an AI assistant with features like personalized recommendations and generated summaries. Responsibilities include managing prompt orchestration, implementing security guardrails, and maintaining semantic search indexes.
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.
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 build production AI features end-to-end, taking them from initial concept through to deployment. This involves working across the full stack, including API design, data integration, and creating streaming interfaces for document-heavy UIs.
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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.
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 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.
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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.
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.
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