Junior AI Engineer

Junior AI Engineer

 
About Virtuozzo Virtuozzo is a leader in cloud 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. 

Role Overview
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.

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.

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.

Key Responsibilities
Engineering Productivity

Build AI-assisted tooling for engineering workflows

Improve developer productivity and operational efficiency

Design systems that reduce repetitive manual engineering work

Support large-scale multi-component software delivery environments

CI/CD & DevOps Intelligence

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

Operational & Engineering Automation

Build AI systems for:

troubleshooting assistance

incident investigation

log analysis

engineering knowledge retrieval

operational recommendations

Automate engineering support and operational workflows

LLM & Agent Systems

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

Infrastructure & Reliability

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

Required Qualifications
Engineering

Strong software engineering fundamentals

Strong Python skills

Experience building backend systems, APIs, and automation tooling

Experience with distributed systems and Linux environments

AI & Automation

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

DevOps & Infrastructure

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

What Success Looks Like

Reduced engineering operational overhead

Faster issue investigation and troubleshooting

Improved CI/CD reliability and visibility

Higher engineering efficiency and delivery velocity

AI systems adopted in daily engineering workflows

Measurable reduction in repetitive manual work

What We Offer:

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