If you’re looking for a role that combines Artificial Intelligence + DevOps + Cloud Engineering, the Ambilio AI & DevOps Intern position is one of the most exciting hybrid opportunities available. This internship is designed for candidates who want to go beyond traditional roles and work on end-to-end AI application development and deployment.
With the rapid growth of LLMs, agentic AI systems, and cloud-based applications, companies now require engineers who can both build AI solutions and deploy them efficiently. This role gives you exposure to exactly that making it highly valuable for future careers in AI Engineering, DevOps, and Cloud.
About the Company – Ambilio
Ambilio is an enterprise-focused company delivering AI and analytics solutions that help businesses design, build, and deploy impactful AI-powered applications. Through its learning initiative Incubity, Ambilio also focuses on developing talent by providing hands-on experience with real-world AI and DevOps projects.
The company works at the intersection of AI innovation and scalable cloud infrastructure, making it a great environment for interns to gain industry-relevant skills.
Role Overview – AI & DevOps Intern
As an AI & DevOps Intern, you will work on both building AI systems and deploying them in production environments. This role is not limited to coding—it includes cloud deployment, infrastructure management, CI/CD pipelines, and system optimization.
You’ll collaborate with AI engineers, developers, and DevOps teams to deliver production-ready AI applications used in enterprise environments.
Key Responsibilities
- Design and develop AI and LLM-based applications
- Build agentic AI systems and autonomous workflows
- Deploy and manage applications using AWS cloud services
- Set up and maintain CI/CD pipelines for continuous deployment
- Configure containers using Docker and orchestration tools like Kubernetes
- Integrate multiple systems into scalable enterprise platforms
- Build sandbox environments for testing and experimentation
- Implement monitoring, logging, and security best practices
- Optimize cloud resources for performance and cost efficiency
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | CS / AI / Data Science or related field |
| Batch | Final-year students / Freshers |
| Skills | AWS, Python/Bash, DevOps basics |
| Knowledge | AI/LLMs, Cloud Infrastructure |
| Location | Bengaluru |
Required Skills
- Understanding of AWS services (EC2, S3, RDS, ECS/EKS, IAM)
- Knowledge of CI/CD tools (GitHub Actions, Jenkins)
- Experience with Docker and Kubernetes
- Familiarity with Infrastructure as Code (Terraform, CloudFormation)
- Exposure to LLM applications and agentic AI systems
- Scripting skills in Python or Bash
Preferred Skills
- Experience with AI tools like LangChain or similar frameworks
- Familiarity with vector databases and embeddings
- Hands-on experience with DevOps automation tools
- Knowledge of monitoring and logging systems
- Exposure to modern AI coding tools (Cursor, Lovable, Google Stitch)
What You’ll Gain
- Hands-on experience with AI + DevOps integration
- Exposure to real-world enterprise AI deployments
- Learning CI/CD pipelines and cloud infrastructure
- Experience working with production-grade AI systems
- Mentorship from experienced engineers
- Strong portfolio projects for future roles
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Stipend (Market Estimate) 💰
Ambilio has not officially disclosed the stipend for this internship. However, based on similar AI + DevOps hybrid internships in India, the estimated stipend range is:
👉 ₹20,000 – ₹50,000 per month
Candidates with strong AWS, Docker, or LLM project experience may receive higher compensation.
Why This Internship is Unique
This role is unique because it combines three high-demand domains:
- Artificial Intelligence (LLMs, agentic systems)
- Cloud Computing (AWS infrastructure)
- DevOps (CI/CD, containers, deployment)
Most internships focus on only one of these areas, but this role prepares you for full-stack AI engineering, which is becoming increasingly valuable in the job market.
How to Apply
To apply for this internship:
- Build a strong resume highlighting AI, cloud, and DevOps projects
- Showcase projects involving LLMs, APIs, or deployment pipelines
- Highlight experience with AWS, Docker, or Kubernetes
- Include GitHub links or live projects
- Apply by clicking the application button below
💡 Pro Tip:
Projects like:
- Deploying an AI chatbot using AWS
- Building a CI/CD pipeline for an ML model
- Creating a Dockerized AI application
can significantly boost your chances of selection.
Final Thoughts
The Ambilio AI & DevOps Intern role is a perfect opportunity for candidates who want to work at the intersection of AI and cloud infrastructure. With hands-on experience, real-world projects, and exposure to modern tools, this internship can help you stand out in the competitive tech industry.
If you’re aiming to become a future-ready AI engineer with DevOps skills, this is definitely a role you should consider.
⚠️ Disclaimer
This job information is collected from official or publicly available sources. We do not charge any fees for job listings, and we do not guarantee recruitment. Please verify details from the official company source before applying.
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