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Junior AI Engineer  – AI Code Quality Validation for T Cloud Public (m/f/d)

Košice, Košický kraj, sk💼 Full-time💰 $24,000–$24,000🗓 2026-09-14 → 2026-09-25

Core

Strengthen software handover readiness by combining AI-assisted engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories.

Role type

Junior AI Engineer (Code Quality & Security Validation)

Builds

Evidence packs linking findings to code locations, tool results, and readiness implications for OpenStack-derived services and infrastructure code.

Domain

Cloud Platform Engineering / DevSecOps / AI-Assisted Software Engineering

Deliverable

production ML models | product features | dashboards & analysis | client delivery | infrastructure

Required skills

Python, backend or systems languages (Go, Java, C, C++, Rust), code review, vulnerability triage, dependency analysis, CI/CD inspection, container security, software supply-chain evidence generation, AI coding assistants

Preferred skills

OpenStack-derived cloud platforms, distributed services, Kubernetes, Linux, enterprise build and release processes

Technologies

Cursor, Windsurf, Claude Code, Continue, Cline, Aider, VS Code, DeepSeek Coder, Qwen, CodeGeeX, StarCoder, Code Llama, Mistral, SonarQube, Semgrep, Trivy, GitGuardian, Syft, Grype, dependency-check, Falco, SBOM tooling, GitLab, GitHub Enterprise, Jenkins, Kubernetes, Helm, Docker, ArgoCD

Responsibilities

Analyse repositories for maintainability, dependency risks, hidden coupling, insecure patterns, build fragility, licensing signals, and documentation gaps; Use AI coding agents to accelerate code review preparation, vulnerability explanation, remediation proposal drafting, and technical debt clustering; Run and interpret quality, dependency, secret, container, and infrastructure scanning tools while documenting false positives and residual risks; Support reproducible build and release validation by analysing logs, pipeline definitions, container images, and configuration assumptions; Create evidence packs that link findings to code locations, tool results, reviewer decisions, risk severity, and mitigation options; Collaborate with security, DevOps, architecture, and test specialists to ensure AI-assisted validation results are actionable.

Seniority

Junior, 5+ years experience

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