If you’re a final-year student looking for a high-impact AI internship with real-world exposure, the Software Engineer Intern role at Rackspace Technology is a standout opportunity.
This internship is not just about learning basics—you’ll actively work on AI-powered applications, LLM integrations, cloud deployment, and full stack development. With a ₹20,000/month stipend and a fully remote setup, this role combines flexibility with valuable industry experience.
About the Company
Rackspace Technology is a global leader in multicloud solutions, helping organizations design, build, and manage cloud environments across platforms like AWS, Azure, and Google Cloud.
The company specializes in:
- Cloud infrastructure and migration
- AI and data solutions
- Application development and security
- Managed services and enterprise optimization
Rackspace is consistently recognized by platforms like Fortune and Forbes as a top workplace, making it a strong choice for early-career professionals.
Role Overview
The Software Engineer Intern role is part of the AI Industrialization team, focusing on building production-ready AI applications.
You will work on:
- Full stack development
- AI/LLM integrations
- Backend APIs
- Cloud deployment
This internship is ideal for students who want hands-on experience in Generative AI, cloud computing, and scalable application development.
Key Responsibilities
- Build and maintain full stack features for AI-powered applications
- Integrate LLM capabilities using LangChain and AWS Bedrock
- Develop backend services and APIs using Python
- Deploy applications on AWS and Kubernetes
- Collaborate with engineers to design and implement features
- Learn best practices in AI development and cloud infrastructure
- Participate in code reviews and technical discussions
- Continuously improve code quality and performance
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Who Can Apply
| Criteria | Details |
|---|---|
| Education | Final-year B.E / B.Tech / MCA / M.Tech (CS or related) |
| Experience | Freshers (students) |
| Duration | 6 Months |
| Mode | Remote (Work from Home) |
| Role Type | Full Stack + AI Internship |
Stipend (Official) 💰
- ₹20,000 per month (Fixed Stipend)
- Paid internship for 6 months
- Potential for full-time conversion based on performance
Required Skills
- Strong proficiency in Python
- Full stack development (React or similar + backend APIs)
- Basic understanding of AWS (S3, Lambda, EC2, ECS)
- Experience with REST API development
- Familiarity with Git and CI/CD workflows
- Basic understanding of LLM APIs (OpenAI, Bedrock, etc.)
- Strong problem-solving and analytical skills
Preferred Skills (Good to Have)
- Knowledge of LangChain or similar frameworks
- Understanding of RAG (Retrieval-Augmented Generation)
- Familiarity with Docker and Kubernetes
- Exposure to vector databases
- Basic prompt engineering knowledge
- Experience with AWS Bedrock or AI services
- Understanding of Agile development practices
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What You Will Learn
This internship offers valuable real-world exposure:
- Building AI-powered web applications
- Working with LLMs and prompt engineering
- Developing scalable backend systems using Python
- Deploying applications on AWS cloud
- Understanding Kubernetes and containerized environments
- Learning full stack development workflows
- Collaborating in a professional engineering team
Why Join Rackspace Technology
- Work on cutting-edge AI and cloud technologies
- Remote work flexibility
- Strong mentorship from experienced engineers
- Hands-on experience with production-level systems
- Opportunity for PPO (Pre-Placement Offer)
- Exposure to global projects and teams
How to Apply
Follow these steps to maximize your chances:
- Build a strong resume highlighting Python, full stack, and AI projects
- Include projects involving APIs, cloud, or LLM integrations
- Showcase any experience with AWS or deployment
- Practice Python coding and backend fundamentals
- Learn basics of prompt engineering and AI APIs
- Prepare for technical interviews (DSA + projects discussion)
- Apply by clicking the apply button
Focus on demonstrating hands-on experience and learning ability, as this role values practical skills over theory.
Disclaimer: This job information is collected from official and public sources. We do not charge any fees for job updates and do not guarantee recruitment. Candidates should verify details from the official source before applying. We are not responsible for any loss arising from reliance on this information.
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