AI & DevOps Intern

Ambilio delivers AI and analytics solutions for enterprises, helping them design, build, and deploy innovative AI-powered applications that create measurable business impact. Our learning and talent initiative, Incubity, focuses on building real-world AI and DevOps skills through projects, mentoring, and enterprise training programs.

Role Overview

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 Ambilios consulting and product initiatives.

• Build and experiment with agentic AI systems and autonomous workflows.

• Deploy, monitor, and manage AI applications in production using AWS services.

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

• Configure and manage containers (Docker, ECS/EKS) 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.

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  Understanding of AWS Cloud 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 infrastructure as code tools (Terraform, CloudFormation, etc.).

• 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.