17 AI Engineer jobs in Slovakia available for remote work from home. Apply for positions such as AI Engineer, AI Engineer, Senior AI Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
Trusted by 200,000+ remote workers worldwide.
You will be responsible for designing, developing, and implementing cutting-edge software solutions while managing the full lifecycle from architecture to deployment. Additionally, you will provide work estimates, guide functional objectives, and ensure high-quality code through unit testing and CI/CD pipeline integration.
Design and build intelligent applications using advanced machine learning, LLM-based architectures, and RAG pipelines. Collaborate with cross-functional teams to deploy production-ready AI solutions using MLOps and LLMOps practices.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
You will build and evolve the agent harness by implementing hooks, permission gates, and context compaction to ensure reliable task completion. Additionally, you will architect planner/executor/evaluator pipelines and manage agent memory to support long-horizon, multi-session execution.
Design, build, and operate a sovereign AI toolchain and Kubernetes environments optimized for AI inference and orchestration in isolated settings. Manage open-source LLM stacks, GPU-enabled environments, and platform automation using Infrastructure as Code and GitOps.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Define and lead AI-assisted SDLC patterns for repository intake, code exploration, and engineering evidence generation. Coach software engineers on the safe and effective use of AI tools while coordinating across architecture, security, and DevOps teams.
Design and implement the AI Factory Cloud platform, focusing on automation, optimization, and the lifecycle of CI/CD pipelines. Provide technical leadership and mentorship to co-workers while coordinating activities across related technologies.
Design and implement ICT components and automation pipelines for the AI Factory Cloud platform running NVIDIA Omniverse. Provide technical leadership, mentorship, and consultation to optimize the entire lifecycle of CI/CD and infrastructure as code.
You will analyze OpenStack-derived cloud services and use AI coding agents to reconstruct service boundaries, diagnose dependencies, and accelerate technical documentation. Additionally, you will collaborate with cross-functional teams to validate findings and create structured handover artifacts for engineering stakeholders.
Develop reusable AI-assisted workflows to automate the analysis, documentation, and handover of cloud software stacks derived from OpenStack. Create engineering patterns for code scanning, dependency extraction, and evidence generation to support technical due diligence.
The DevOps Engineer Professional is responsible for the entire lifecycle of Continuous Integration/Continuous Deployment pipelines and Infrastructure as Code approaches. They will design, develop, test, implement, and support ICT components and applications for the AI Factory Cloud platform.
Develop and industrialize AI-assisted engineering workflows to automate SDLC tasks such as code scanning, dependency extraction, and documentation generation. Integrate these AI workflows with existing CI/CD systems, Git platforms, and architecture evidence repositories to ensure auditable and repeatable engineering outputs.
The role involves strengthening software handover readiness by utilizing AI-assisted engineering to perform code quality, security validation, and dependency analysis. You will collaborate with cross-functional teams to generate evidence packs and ensure actionable, high-quality results for complex cloud platform repositories.
Use AI-assisted software engineering and coding agents to analyze complex cloud codebases and reconstruct architecture dependencies. Produce structured handover artifacts and technical documentation to support due diligence and transition readiness.
The DevOps Engineer Professional is responsible for designing, developing, and supporting ICT components and applications for the AI Factory Cloud platform. They will also mentor co-workers and consult on innovative technologies to enhance project deliverables.
The role involves building, testing, and maintaining AI-assisted development workflows to support engineering teams with code understanding and documentation. You will also create scripts and lightweight services to integrate various development tools and prepare handover materials for cloud software projects.
Guide enterprise customers through the onboarding and adoption of an Industrial AI Cloud platform. Design and implement Proofs of Concept and optimize GPU compute workloads and AI pipelines.
We watch for new "AI Engineer" jobs and email you the matches. Free. Unsubscribe in one click.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Everything you need to know about remote work
