Job Description 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. Requirements 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 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. 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.