Top Tech Jobs & Startup Jobs in Prague

Develop and deploy large-scale AI solutions, distributed training and inference systems, and MLOps pipelines across cloud platforms. Advise customers, diagnose full-stack ML issues, optimize performance, latency, cost, and reliability, and support NVIDIA hardware and frameworks. Build open-source tools and reference architectures while collaborating with infrastructure and accelerated-framework teams. The role requires strong systems, programming, cloud-native MLOps, machine learning, and communication expertise.

Own the roadmap, live operations, performance, monetization, and growth strategy for mobile puzzle games in Lion Studios’ Word or Sort subpod. Plan events, updates, and promotions; use analytics and market trends to guide product decisions; collaborate with development, marketing, and design teams; and support new titles from development through launch and global scaling.

Conduct advanced research in artificial intelligence and machine learning, including deep learning, graphical models, reinforcement learning, computer perception, natural language processing, and data representation. Define complex business problems, design and deliver modeling solutions, evaluate model performance, establish scientific and engineering specifications, and build analytical roadmaps. Assess production implementation requirements, improve data capture methods, apply statistical and mathematical techniques, and resolve root causes and process bottlenecks.

Develop and enhance MetaMask social and multi-chain experiences across Portfolio, browser extension, and mobile platforms. Collaborate across teams on complex projects, mentor engineers, and build scalable full-stack applications using React, React Native, modern JavaScript, blockchain technologies, APIs, testing, and continuous integration. Ensure cross-platform compatibility and apply web security best practices.

Provides proactive technical and architectural guidance to enterprise partners implementing Red Hat OpenShift and OpenStack solutions. Builds partner relationships, conducts technical and operational reviews, troubleshoots and escalates issues, manages incidents and documentation, advises on product roadmaps, and collaborates with Engineering, Product Management, and Support. Develops solution patterns, mentors team members, supports cloud platform adoption, and travels within EMEA as needed.

Lead and scale the ERP integrations engineering organization from approximately 10 to 50 engineers. Own architecture and standards for on-premise, cloud, REST, and file-based connectors; drive canonical data mapping, reliability, governance, auditability, documentation, and repeatable processes. Engage CIOs, IT directors, and enterprise architects, scope customer solutions, and partner with US go-to-market and delivery teams. Bring deep ERP integration expertise, especially across fragmented US mid-market systems.

Build and maintain Ergodic AI’s AI platform across back-end and front-end systems. The role involves developing with Python web frameworks and JavaScript/TypeScript, integrating with client technology stacks and workflows, applying AI, ML, and LLM concepts, and contributing to DevOps, cloud deployment, testing, and infrastructure practices. As an early-stage hire, the engineer will help shape the product and solve complex data and AI challenges.

Drive global payroll optimization through vendor migrations, system implementations, process standardization, and compliance improvements. Oversee payroll data, time records, adjustments, reconciliations, audits, reports, controls, and service-level requirements. Partner with HR, Finance, Technology, payroll teams, and business leaders to resolve issues, ensure data integrity, support employees, document procedures, and deliver scalable payroll solutions across U.S. and international operations.

Owns the company’s operational, financial, and execution systems so the CEO can focus on vision and growth. Responsibilities include managing executives and operations, enforcing OKRs and KPIs, overseeing the company operating system, allocating resources, managing budgets and forecasting, improving profitability and risk visibility, and managing industry partnerships. The role requires prior senior strategy consulting leadership, hands-on operating experience, P&L or budget accountability, operating-system implementation, and experience leading distributed teams.

Provides advanced technical support for backend, integration, database, configuration, and performance issues in cloud and self-hosted environments. Troubleshoots Java web applications, APIs, databases, Linux systems, networking, Kubernetes, and customer environments. Investigates logs, queries, metrics, and application behavior; develops scripts and workarounds; reproduces and documents defects; supports escalations and on-call incidents; and collaborates with Engineering and Product on resolutions and documentation.