Top Remote Jobs in Prague

Deliver and install robotics hardware and software in warehouse sites across Europe. Perform system assembly, configuration, calibration, on-site debugging, and customer-facing technical coordination. Produce and maintain deployment and troubleshooting documentation and communicate with customers and internal teams to resolve technical issues.

Lead multi-channel inbound and growth marketing to drive demand and revenue. Own SEO/GEO, content, social, email, community, and performance programs; build repeatable content systems; leverage AI agents and automation; activate founder-led channels; partner with Product and Partnerships for go-to-market campaigns.

Lead architecture and reliability for cloud infrastructure and Kubernetes, improve observability and IaC, drive resilience and incident response, mentor engineers, and shape the platform roadmap.

Lead EMEA sales for mediasmart's CTV and omnichannel solutions. Build and manage multi-market pipelines, close complex deals, develop agency and advertiser relationships, shape go-to-market messaging with Product and Marketing, represent the company at industry events, and collaborate with Customer Success and AdOps to ensure campaign execution and product adoption.

Designs and builds scalable Azure data pipelines, integrates structured and unstructured sources, and provisions data into Lakehouse architectures. Develops with Azure Data Factory and Databricks, implements batch and streaming processing, applies business logic, optimizes large datasets, and supports legacy database migrations to cloud platforms. Collaborates in Agile teams to deliver trusted data solutions for analytical users.

Support and enhance a live Stibo STEP Customer MDM platform by configuring data models, workflows, business rules, Web UI, dashboards, and data quality controls. Resolve match-merge and golden-record issues, maintain API integrations and ETL flows, tune performance, triage incidents, and produce technical documentation. The role requires daily overlap with UK business hours and collaboration with client data stewards.

As a Distributed Systems Engineer, you'll design and evolve LiveKit's core systems, implement resilient architectures, and enhance reliability and developer velocity, working on critical features in production environments.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Lead the company’s ML/AI platform from experimentation through production, including SageMaker training infrastructure, model serving, inference pipelines, MLOps, and Java microservice integrations. Set AI/ML technical direction, develop GenAI and LLM retrieval and agent architectures, establish evaluation and safety guardrails, and partner with data science, DevOps, product, and engineering leadership on scalable ML roadmaps.

The Senior Infrastructure Engineer will own the cloud stack, enhance observability, architect browser cloud infrastructure, debug operational issues, and mentor other engineers, while managing multiple production workloads at scale.