AI DevOps Engineer

Stack

Responsibilities

• ▹Lead architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale)
• ▹Drive automation of infrastructure, model lifecycle, and inference pipelines
• ▹Oversee CI/CD processes for AI/ML/GenAI workloads
• ▹Design secure, scalable cloud infrastructure (Azure-focused)
• ▹Act as technical advisor for clients and stakeholders
• ▹Mentor engineers and promote GenAI adoption
• ▹Coordinate cross-functional teams
• ▹Ensure cost optimization, monitoring, and compliance

Requirements

• ▹5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience
• ▹Proven experience deploying LLMs/SLMs (model serving, inference optimization, RAG)
• ▹Expert proficiency in Linux and macOS administration
• ▹Advanced Python and scripting (Bash/PowerShell)
• ▹Deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins)
• ▹Strong expertise in Azure cloud and Kubernetes
• ▹Fluency in written and spoken English

Nice to have

• ▹Windows administration knowledge

Soft skills

About the company

Lingaro's Data Science & AI Competency Center specializes in designing and delivering AI/ML/GenAI solutions.