Top Remote Jobs in Prague

As a Software Engineer, you will design and develop applications, write clean code, engage in code reviews, optimize systems, and explore new technologies in a remote team.

The Conversation Designer will create and optimize conversational experiences for AI agents, ensuring they meet client needs and enhance user engagement.

Drive new logo acquisition and pipeline development across the Nordics for WEKA's AI/HPC storage solutions. Manage partner selling, accelerate customer adoption, collaborate with sales engineering, and engage senior management to meet revenue targets.

The Quality Engineer will develop and support manufacturing technologies, create product drawings, and coordinate projects in a team environment.

Own first-line compliance review of AI outputs and client deliverables, analyze regulatory frameworks, support licensing and regulatory-readiness projects, map evidence and submissions, convert requests into scopes and reports, and work with Engineering to build reusable regulatory workflows and review rules. Escalate high-risk issues to senior Compliance or Legal.

Build AI-native internal automations and agentic workflows to remove manual work across HR, Support, Ops, Finance, and Marketing. Design, ship, and maintain LLM-powered pipelines, scheduled tasks, no-code integrations, dashboards, and connectors; own intake-to-deploy lifecycle and document/hand off solutions to non-technical teams.

Serve as primary client contact managing a book of business to drive onboarding, product adoption, renewals, and upsell identification. Conduct regular business reviews, monitor account health, negotiate renewals, and coordinate cross-functionally (sales, legal, partners, product, support) to resolve issues and increase customer value.

Support the Business Development Director by identifying new niches and creator leads, building and managing a prospect pipeline, maintaining lead records, improving funnel processes, and proposing optimizations to boost outreach and efficiency.

The Data Engineer will design, build, and maintain scalable data pipelines, develop ETL workflows using Python and SQL, and optimize data processes to ensure reliability and performance.

Create and publish hands-on DevOps and platform engineering use cases: build working demos (pipelines, integrations, configs), write clear tutorials and documentation, and distribute content to drive organic traffic and signups. Collaborate with product, maintain a steady publishing cadence, and produce runnable examples that reduce support load.