Software Development Intern

Shure; Hyderabad; On-site; INR 335,000 - 469,000; Part time

Benefits offered by this job

Stipend

Hands-on learning

Job summary

Shure is seeking a Software Development Intern in Hyderabad to contribute to real-world engineering projects. You will work on full‑stack systems, REST APIs, and AI‑assisted development while learning modern practices and security considerations.

The role emphasizes collaboration and hands‑on experience with production‑grade tools. Ideal candidates are pursuing or recently completed a CS/IT/AI degree, with fundamentals in algorithms, OOP, and debugging, and familiarity with Python, Java,

Qualifications

• Pursuing or completed Bachelor's/Master's in CS/IT/AI or closely related field.
• Solid grasp of software fundamentals, data structures, algorithms, and OOP.
• Hands-on with at least one language (Python, Java, JavaScript, or TypeScript).
• Foundations in REST APIs, databases (SQL & NoSQL), and source control.

Responsibilities

• Develop features and components using Python/Java/JavaScript/TypeScript.
• Build and integrate REST APIs; work with SQL and NoSQL databases.
• Collaborate on full‑stack projects across frontend and backend.
• Apply core CS concepts: data structures, algorithms, debugging, and SDLC.

Skills

Python

Java

JavaScript

TypeScript

REST APIs

SQL

NoSQL

Git

Education

Bachelor's/Master's in CS/IT/AI

Tools

Git

GitHub

Docker

AWS

Kubernetes

PostgreSQL

MongoDB

Job description

Batch: 2026/2027/2028. About the role:

• Shure seeks a Software Development Intern to contribute to real-world engineering projects and gain hands-on experience with modern development practices and technologies.
• You will work on building and maintaining software systems, applying core computer science concepts to solve practical problems.
• The role offers exposure to full-stack development, cloud infrastructure, and emerging AI technologies used in production environments.

What you'll work on:

• Developing features and components using programming languages such as Python, Java, JavaScript, or TypeScript.
• Building and integrating REST APIs, working with databases like SQL and document-based systems.
• Collaborating on full-stack projects that span frontend and backend systems.
• Learning and applying software development principles including data structures, algorithms, object-oriented programming, debugging techniques, and the software development lifecycle.
• Gaining exposure to Generative AI, LLMs, and Agentic AI concepts and their practical applications in software engineering.
• Implementing responsible AI practices, including output validation, hallucination mitigation, and security considerations.
• Working with version control systems and continuous integration tools in a team environment.

What we're looking for:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, IT, Software Engineering, AI, Data Science, or a closely related field.
• Solid understanding of software development principles, data structures, algorithms, object-oriented programming, debugging, and the software development lifecycle.
• Hands-on experience with at least one programming language such as Python, Java, JavaScript, or TypeScript.
• Foundation in application development, REST APIs, databases, SQL, and source control systems.
• Familiarity with LLMs, Generative AI, and Agentic AI, with awareness of their applications in engineering.
• Logical problem-solving ability with capacity to understand systems holistically and pick up new technologies independently.
• Attention to detail, intellectual curiosity, strong teamwork skills, and openness to constructive feedback.

Preferred experience:

• Frontend development with HTML, CSS, JavaScript, TypeScript, React, Angular, or similar frameworks.
• Backend development using Python, Java, Node.js, or Spring Boot.
• Work with PostgreSQL, MySQL, MongoDB, or other relational and NoSQL databases.
• REST API design, authentication mechanisms, API integration, and application security fundamentals.
• Version control platforms including Git, GitHub, GitLab, or Azure DevOps.
• Continuous integration and continuous deployment tools such as Jenkins.
• Cloud platforms and containerization technologies like AWS, Azure, Docker, or Kubernetes.
• Experience with prompt engineering, retrieval-augmented generation (RAG), tool or function calling, AI-agent frameworks, and model evaluation techniques.
• Understanding of responsible AI principles, data privacy, security best practices, hallucination risks, and output validation strategies.
• Academic projects, personal portfolio work, internship experiences, or open-source contributions in software development, full-stack engineering, or AI-assisted development.