Cloud Native AI Engineer (Remote Italy) – Salary, Skills & Apply Guide

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This role targets a Mid to Senior-Level Cloud Native AI Engineer specializing in AI Platform Engineering, MLOps, and Kubernetes-based infrastructure. You will join Kiratech’s professional services team to design scalable, production-grade AI systems for enterprise clients. The ideal candidate brings 5+ years experience across machine learning lifecycle management, cloud-native architecture, and DevSecOps, with strong hands-on expertise in building AI pipelines that move beyond experimentation into reliable, secure production environments.

🌍 Work Eligibility & Location

This opportunity is Remote, but accessibility is constrained by language requirements and regional alignment. Candidates outside Italy may face barriers unless they meet Italian fluency and EU work authorization. The lack of clear visa sponsorship signals indicates this role is best suited for already eligible professionals.

💰 Salary Intelligence

For a Mid to Senior-Level AI platform engineer in Italy, the estimated €55K–€85K range is competitive within the local market, particularly for roles combining Kubernetes, MLOps, and LLM infrastructure. Compensation may scale higher depending on certifications (CKA/CKAD) and deep expertise in cloud-native AI systems.

📊 Role Breakdown

This role is heavily architecture-focused, blending AI engineering (40%), platform engineering (35%), and technical leadership (25%). You will design, deploy, and optimize AI/ML pipelines using tools like MLflow, Kubeflow, KServe, and BentoML, ensuring production-grade scalability. A major component involves integrating LLMOps and agent-based workflows using frameworks such as LangChain, LangGraph, and LlamaIndex.

On the infrastructure side, you will manage Kubernetes environments and implement GitOps practices (ArgoCD, Flux) across AWS, Azure, or GCP. You will also embed DevSecOps practices by integrating tools like Snyk, Trivy, and SonarQube into CI/CD pipelines.

Additionally, you will act as a technical lead, guiding teams, mentoring engineers, and driving enterprise AI adoption through scalable, secure architectures. The role demands strong ownership of end-to-end AI lifecycle systems and the ability to align engineering with business impact.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a high-difficulty role due to the intersection of AI systems, cloud-native infrastructure, and security engineering. The 5+ years requirement combined with certifications like CKA significantly narrows the candidate pool. However, competition remains strong among experienced engineers specializing in platform AI and Kubernetes ecosystems.

🚀 Career Impact

This role offers strong career acceleration into high-value positions such as AI Architect or Platform Engineering Lead. You will gain deep expertise in production AI systems, positioning yourself for leadership roles in enterprise AI transformation and cloud-native strategy.

📋 Key Responsibilities

You will design and implement AI/ML pipelines using MLflow, Kubeflow, and KServe, ensuring scalability and maintainability. A key responsibility includes deploying LLM-based systems with LangChain, LlamaIndex, and agentic workflows. You will manage Kubernetes clusters and automate infrastructure using Terraform, Ansible, and GitOps tools.

Additionally, you will integrate DevSecOps practices by embedding Snyk, SonarQube, and Trivy into CI/CD pipelines. Monitoring and observability using Prometheus, Grafana, and Elastic Stack will be critical. Finally, you will lead technical initiatives, mentor engineers, and coordinate cross-functional teams to deliver enterprise-grade AI solutions.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

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📅 Application Signals

This role shows moderate urgency as companies actively invest in AI platform engineering capabilities. However, competition is strong due to the high-value nature of Kubernetes + AI expertise. Early applicants with verified certifications and production AI experience will have a significant advantage.

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✅ Job Source & Verification

This job listing originates from a verified company careers page via a reputable hiring platform. The information reflects a recently active posting, though salary and visa details were not explicitly disclosed. Candidates should confirm final details directly during the application process to ensure accuracy and alignment.