Junior AI Engineer

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    "datePosted": "2026-05-13",
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    "description": "<p><span style=\"font-size: 14pt; font-weight: bold\">Junior AI Engineer</span></p>\n<p> <span style=\"font-weight: bold\"><br>About Virtuozzo</span> <span>Virtuozzo is a leader in infrastructure system software for AI. We offer an optimized operating system, orchestration, and management to service providers, SaaS companies, and the enterprise. Virtuozzo provides mainframe-like performance, reliability, and security while dramatically lowering overall cost and complexity. </span><br><br><span style=\"font-weight: bold\">Role Overview</span><br>At Virtuozzo, the AI Engineer focuses on applying AI to improve software engineering, DevOps, CI/CD, operational workflows, and engineering productivity across large-scale infrastructure and platform environments.<br><br>This role is centered on internal engineering effectiveness. The primary goal is to reduce operational overhead, improve reliability, accelerate delivery, and increase engineering efficiency through practical AI systems and automation.<br><br>The team may expose some capabilities as shared internal services or reusable platform components, but the core focus remains engineering operations and software delivery systems.<br><br><span style=\"font-weight: bold\">Key Responsibilities</span><br><span style=\"font-weight: bold\">Engineering Productivity</span></p>\n<ul>\n<li>Build AI-assisted tooling for engineering workflows</li>\n<li>Improve developer productivity and operational efficiency</li>\n<li>Design systems that reduce repetitive manual engineering work</li>\n<li>Support large-scale multi-component software delivery environments</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">CI/CD &amp; DevOps Intelligence</span></p>\n<ul>\n<li>Develop AI-driven solutions for:\n<ul>\n<li>pipeline analysis</li>\n<li>failure classification</li>\n<li>flaky test detection</li>\n<li>release validation</li>\n<li>dependency impact analysis</li>\n<li>build optimization</li>\n<li>deployment risk analysis</li>\n</ul>\n</li>\n<li>Improve reliability and visibility of engineering pipelines</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Operational &amp; Engineering Automation</span></p>\n<ul>\n<li>Build AI systems for:\n<ul>\n<li>troubleshooting assistance</li>\n<li>incident investigation</li>\n<li>log analysis</li>\n<li>engineering knowledge retrieval</li>\n<li>operational recommendations</li>\n</ul>\n</li>\n<li>Automate engineering support and operational workflows</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">LLM &amp; Agent Systems</span></p>\n<ul>\n<li>Design and implement:\n<ul>\n<li>engineering copilots</li>\n<li>RAG systems, context management systems</li>\n<li>internal engineering assistants</li>\n<li>workflow automation agents</li>\n</ul>\n</li>\n<li>Integrate AI with engineering systems, repositories, CI/CD platforms, documentation, observability tools, and operational data sources</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Infrastructure &amp; Reliability</span></p>\n<ul>\n<li>Deploy and maintain production-grade AI services</li>\n<li>Ensure observability, monitoring, evaluation, and operational reliability</li>\n<li>Optimize AI systems for latency, cost, and scalability</li>\n<li>Maintain secure and maintainable integrations</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Required Qualifications</span><br><span style=\"font-weight: bold\">Engineering</span></p>\n<ul>\n<li>Strong software engineering fundamentals</li>\n<li>Strong Python skills</li>\n<li>Experience building backend systems, APIs, and automation tooling</li>\n<li>Experience with distributed systems and Linux environments</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">AI &amp; Automation</span></p>\n<ul>\n<li>Practical experience with LLM systems and AI tooling</li>\n<li>Experience with:\n<ul>\n<li>RAG architectures</li>\n<li>embeddings</li>\n<li>vector search</li>\n<li>workflow orchestration</li>\n<li>AI evaluation</li>\n</ul>\n</li>\n<li>Ability to build production systems, not just prototypes</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">DevOps &amp; Infrastructure</span></p>\n<ul>\n<li>Experience with CI/CD systems</li>\n<li>Familiarity with:\n<ul>\n<li>Kubernetes</li>\n<li>containers</li>\n<li>observability tooling</li>\n<li>infrastructure automation</li>\n<li>cloud-native environments</li>\n</ul>\n</li>\n<li>Understanding of operational workflows and engineering lifecycle challenges</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">Nice-to-Have</span></p>\n<ul>\n<li>Experience with OpenStack ecosystems</li>\n<li>Experience with large-scale monorepo or multi-repository environments</li>\n<li>Experience with engineering analytics and developer productivity metrics</li>\n<li>Familiarity with infrastructure observability and incident management systems</li>\n</ul>\n<p><br><span style=\"font-weight: bold\">What Success Looks Like</span></p>\n<ul>\n<li>Reduced engineering operational overhead</li>\n<li>Faster issue investigation and troubleshooting</li>\n<li>Improved CI/CD reliability and visibility</li>\n<li>Higher engineering efficiency and delivery velocity</li>\n<li>AI systems adopted in daily engineering workflows</li>\n<li>Measurable reduction in repetitive manual work</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">What We Offer:</span></p>\n<ul>\n<li><span>Flexible hours and remote work options</span></li>\n<li><span>Competitive compensation with diffrent benefits depending on your location and type of contract</span></li>\n<li><span>Recognition programs</span></li>\n<li><span>Space for creativity and experimentation within the company’s goals</span></li>\n<li><span>Supportive, engineering-driven culture with minimal bureaucracy</span></li>\n<li><span>The chance to influence infrastructure decisions from day one</span></li>\n<li><span>A smart, friendly team that values reliability, simplicity, and automation</span></li>\n</ul>",
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