AI & DevOps Intern

We are looking for a final-year student or recent graduate to join us as an

AI & DevOps Intern

. This role blends AI application development with cloud deployment and infrastructure management. You will work closely with our AI, full-stack, and DevOps teams to develop, deploy, and manage AI-powered enterprise applications in real-world environments.

Key Responsibilities

Design, develop, and deploy AI and LLM-based applications for Ambilio’s consulting and product initiatives.

Build and experiment with agentic AI systems and autonomous workflows.

Deploy, monitor, and manage AI applications in production using

Azure services

.

Set up and maintain CI/CD pipelines for continuous deployment.

Configure and manage containers (Docker,

AKS

) for scalable deployments.

Integrate multiple AI and application components into a unified enterprise platform.

Build sandbox or playground environments for experimentation and testing.

Implement multi-tenant management, security, monitoring, logging, and automated backups.

Collaborate with developers and data scientists to troubleshoot deployment and performance issues.

Optimize cloud resources and ensure reliability and cost efficiency.

Required Skills & Qualifications

Final-year student or recent graduate in Computer Science, AI, Data Science, or related fields.

Understanding of

Azure Cloud Infrastructure

(

Virtual Machines, AKS, Blob Storage, Azure SQL Database, Azure Active Directory, Load Balancer

).

Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or similar).

Experience with Docker, Kubernetes, and container orchestration.

Exposure to infrastructure as code tools (Terraform, ARM Templates, or Bicep).

Knowledge of LLM application development and agentic AI architectures.

Hands-on with vibe coding tools such as Cursor, Lovable, or Google Stitch.

Scripting skills in Python or Bash for automation and DevOps tasks.

Strong problem-solving skills, curiosity, and ability to work independently in a fast-paced environment.

Internship Details

Mode: Remote (Initially)