Summer Internship - Technology

Backend:

- Strong fundamentals
 - Solid understanding of core concepts (data structures, OOP, basic system design principles) relevant to our stack.
- Problem-solving ability
 - Can break down problems logically and demonstrate clear thinking, even if they don’t reach the perfect solution.
- Basic hands-on experience
 - Familiarity with Java/Spring Boot, REST APIs, OpenAPI, and Git through projects, internships, or coursework.
- Willingness to learn & good attitude
 - Open to feedback, proactive, and shows genuine interest in growing rather than just completing tasks.

DevOps:

- Foundational Systems (Linux & AWS)
 - Comfortable with the Linux CLI (permissions, bash) and a conceptual grasp of AWS basics (EC2, S3, IAM).
- Container Orchestration (Kubernetes/Docker)
 - Understanding of containerization and the ability to define basic K8s objects (Pods, Services). Familiarity with kubectl.
- CI/CD & GitOps Philosophy
 - A high-level understanding of how code gets built and deployed automatically, and a strong grip on Git (branching, merging, PRs).
- The "DevOps" Mindset
 - A proactive approach to troubleshooting and a "learning-first" attitude specifically the ability to research an error message before asking for help.

Frontend:

- TypeScript/ReactJS fundamentals & clean component development
 - Understand React and TypeScript basics, build reusable and maintainable components, use proper typing, naming conventions.
- Storybook usage & component documentation
 -Be able to create and maintain Storybook stories for UI components.
- Frontend testing mindset
 - Learn how to write basic tests for components and user interactions, including Storybook testing and frontend unit/integration tests.
- Build tools & monorepo awareness
 - Understand the basics of Vite, bundling, package structure, and how to work inside a monorepo/monospace setup, including shared UI packages and dependencies.

AI :

- AI Agent Development with Spring AI & MCP
 - Build AI agents using Java Spring Boot with Spring AI and Spring AI MCP, including creating MCP servers, defining tools (skills), and wiring agent workflows
- RAG & Embeddings Integration
 - Implement a basic RAG setup using embeddings (store + retrieve) and integrate it into agents for contextual responses
- Custom Agent Design & Skill Integration
 - Develop simple custom agents that can call APIs, process user input, and orchestrate tasks using modular skills
- Experimentation & Feature Improvement
 - Collaborate on experimenting with new agent capabilities, testing ideas, and improving usability and performance of AI-driven features