AI Engineer
Build and maintain the Apify MCP Server to turn Actors into tools for AI agents. Develop the agent behind Apify AI and create evaluation systems to ensure product quality and stability.
9 AI Engineer jobs in Czech Republic available for remote work from home. Apply for positions such as AI Engineer, Expert AI Engineer, Senior Fullstack Engineer (AI Focused) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Build and maintain the Apify MCP Server to turn Actors into tools for AI agents. Develop the agent behind Apify AI and create evaluation systems to ensure product quality and stability.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales engineering solutions.
Design and implement scalable architectures for AI-powered applications, integrating LLM APIs and vector databases. Collaborate with product teams to translate requirements into technical solutions and validate AI model output quality.
The Senior Software Engineer will design, implement, and integrate AI features into existing 8am products by collaborating with product managers and data scientists. Responsibilities include building and evaluating AI-powered services, writing high-quality Python code for data manipulation and LLM interaction, and developing infrastructure for scalable AI deployment.
You will design, develop, and deploy AI solutions and end-to-end ML pipelines to enhance financial products within the NetSuite ecosystem. You will also collaborate with cross-functional teams to integrate these models into production environments while ensuring scalability and performance.
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You will craft beautiful interfaces and interactions for Restream web services while collaborating with designers to build user-friendly UI/UX. Additionally, you will develop business logic, maintain system reliability, and participate in code reviews within a small, focused engineering team.
You will design and build services to integrate the Synthetic Data platform with the Cint Exchange and third-party survey hosting platforms. Additionally, you will own the end-to-end ingestion path, ensuring data quality and reliability while collaborating with AI/ML engineers.
You will lead the operation of large-scale AI infrastructure, managing NVIDIA GPU environments and Kubernetes platforms while acting as a senior escalation point for critical incidents. Additionally, you will drive operational excellence, mentor engineering staff, and implement automation to improve platform reliability and service delivery.
Operate and support large-scale AI infrastructure platforms powered by NVIDIA GPUs and Kubernetes across multiple datacenters. Resolve technical incidents related to hardware, networking, and platform stability while improving observability and automation.
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