AI & DevOps Intern

About this internship

Ambilio is hiring an AI & DevOps Intern to join its AI, full-stack and DevOps teams in building, deploying and managing AI-powered enterprise applications in real-world environments. This role uniquely blends AI application development with cloud deployment and infrastructure management — ideal for a final-year student or recent graduate who loves shipping AI to production. You will design, develop and deploy AI and LLM-based applications, experiment with agentic AI systems and autonomous workflows, and deploy, monitor and manage AI applications in production using AWS services. You will set up and maintain CI/CD pipelines, configure and manage containers with Docker and ECS/EKS for scalable deployments, build sandbox environments for experimentation, implement multi-tenant management, security, monitoring, logging and backups, and optimise cloud resources for reliability and cost efficiency.

Skills you'll use

What you'll do

• Design, develop and deploy AI and LLM-based enterprise applications
• Build and experiment with agentic AI systems and autonomous workflows
• Deploy, monitor and manage AI applications in production on AWS
• Set up and maintain CI/CD pipelines for continuous deployment
• Configure and manage containers (Docker, ECS/EKS) for scalable deployments
• Implement multi-tenant management, security, monitoring, logging and backups

Who can apply

• Final-year student or recent graduate in CS, AI, Data Science or related fields
• Understanding of AWS infrastructure (EC2, ECS/EKS, S3, RDS, IAM, Load Balancers)
• Familiarity with CI/CD pipelines (GitHub Actions, Jenkins or similar)
• Experience with Docker, Kubernetes and container orchestration
• Exposure to IaC tools (Terraform, CloudFormation) and LLM/agentic AI development
• Scripting skills in Python or Bash for automation

Perks & benefits

About Ambilio

Ambilio is hiring an AI & DevOps Intern to join its AI, full-stack and DevOps teams in building, deploying and managing AI-powered enterprise applications in real-world environments. This role uniquely blends AI application development with cloud deployment and infrastructure management — ideal for a final-year student or recent graduate who loves shipping AI to production. You will design, develop and deploy AI and LLM-based applications, experiment with agentic AI systems and autonomous workflows, and deploy, monitor and manage AI applications in production using AWS services. You will set up and maintain CI/CD pipelines, configure and manage containers with Docker and ECS/EKS for scalable deployments, build sandbox environments for experimentation, implement multi-tenant management, security, monitoring, logging and backups, and optimise cloud resources for reliability and cost efficiency.

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