Junior AI Engineer

Virtuozzo

Junior AI Engineer at Virtuozzo enhancing engineering productivity through AI and automation in large-scale infrastructure. Building solutions for CI/CD, workflows, and operational efficiency.

Posted 5/14/2026full-timeRemote • 🇰🇿 KazakhstanJuniorWebsite

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetesLinuxOpenStackPython

About the role

Key responsibilities & impact

Build AI-assisted tooling for engineering workflows
Improve developer productivity and operational efficiency
Design systems that reduce repetitive manual engineering work
Develop AI-driven solutions for pipeline analysis, failure classification, flaky test detection, release validation, dependency impact analysis, build optimization, deployment risk analysis
Improve reliability and visibility of engineering pipelines
Build AI systems for troubleshooting assistance, incident investigation, log analysis, engineering knowledge retrieval, operational recommendations
Automate engineering support and operational workflows
Design and implement engineering copilots, RAG systems, context management systems, internal engineering assistants, workflow automation agents
Integrate AI with engineering systems, repositories, CI/CD platforms, documentation, observability tools, and operational data sources
Deploy and maintain production-grade AI services
Ensure observability, monitoring, evaluation, and operational reliability
Optimize AI systems for latency, cost, and scalability
Maintain secure and maintainable integrations

Requirements

What you’ll need

Strong software engineering fundamentals
Strong Python skills
Experience building backend systems, APIs, and automation tooling
Experience with distributed systems and Linux environments
Practical experience with LLM systems and AI tooling
Experience with: RAG architectures embeddings vector search workflow orchestration AI evaluation
Ability to build production systems, not just prototypes
Experience with CI/CD systems
Familiarity with: Kubernetes containers observability tooling infrastructure automation cloud-native environments
Understanding of operational workflows and engineering lifecycle challenges
Nice-to-Have Experience with OpenStack ecosystems
Experience with large-scale monorepo or multi-repository environments
Experience with engineering analytics and developer productivity metrics
Familiarity with infrastructure observability and incident management systems

Benefits

Comp & perks

Flexible hours and remote work options
Competitive compensation with diffrent benefits depending on your location and type of contract
Recognition programs
Space for creativity and experimentation within the company’s goals
Supportive, engineering-driven culture with minimal bureaucracy
The chance to influence infrastructure decisions from day one
A smart, friendly team that values reliability, simplicity, and automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonbackend systemsAPIsautomation toolingdistributed systemsLinuxLLM systemsRAG architecturesworkflow orchestrationengineering analytics

Soft Skills

developer productivityoperational efficiencytroubleshooting assistanceincident investigationoperational recommendationscontext managementworkflow automation