Software Development Intern

About the Role

We are looking for a motivated, detail-oriented, and technically curious Software Development Intern to join our Software Engineering team. The intern will gain hands-on experience in software design, development, debugging, integration, continuous integration and delivery, and AI-assisted software engineering while collaborating with developers and experienced engineering professionals.

Key Responsibilities

• Understand the product architecture, application workflows, customer use cases, technical requirements, dependencies, and engineering challenges across the complete software development lifecycle.
• Assist in designing, developing, enhancing, and maintaining software applications and components based on business and technical requirements.
• Write clean, readable, reusable, maintainable, and efficient code following established coding standards and software engineering best practices.
• Develop and integrate application features across frontend, backend, APIs, databases, and supporting services, as applicable to the assigned project.
• Participate in requirements analysis, technical discussions, solution design, code reviews, debugging, and implementation activities.
• Build and consume RESTful APIs and work with databases, data models, queries, and application integrations.
• Identify, troubleshoot, and resolve software defects, performance issues, integration challenges, and unexpected application behavior.
• Develop unit tests and integration tests to validate software functionality, reliability, and maintainability.
• Use Git-based version control workflows to manage code changes, collaborate with team members, and contribute to shared repositories.
• Work with Jenkins or other CI/CD tools to understand build processes, automated checks, deployment workflows, and software delivery practices.
• Explore modern development tools, frameworks, libraries, and architectural approaches to improve development efficiency and software quality.
• Prototype AI-assisted software development solutions using Large Language Models (LLMs), Generative AI, and AI agents for activities such as code generation, code review, documentation, debugging, refactoring, and test creation.
• Contribute to AI-enabled engineering workflows where software agents can analyze requirements, use development tools, generate or modify code, and validate outcomes with appropriate human review.
• Evaluate AI-generated code for correctness, maintainability, security, performance, and adherence to established engineering standards.
• Apply secure coding practices, investigate technical challenges, and recommend improvements to application performance, reliability, scalability, and maintainability.
• Document technical designs, implementation decisions, APIs, and development workflows to support knowledge sharing and long-term product maintenance.

Qualifications

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, or a related field.
• Basic understanding of software development principles, data structures, algorithms, object-oriented programming, debugging, and software development lifecycle (SDLC) concepts.
• Working knowledge of at least one programming language, such as Python, Java, JavaScript, or TypeScript.
• Foundational understanding of application development, REST APIs, databases, SQL, source control, and software integration concepts.
• Essential exposure to and conceptual understanding of Large Language Models (LLMs), Generative AI, and Agentic AI, including their practical applications in software engineering.
• Ability to understand a system end to end, learn unfamiliar technologies, analyze problems logically, and translate requirements into practical technical solutions.
• Strong attention to detail, ownership, curiosity, collaboration skills, and willingness to experiment, learn, and accept feedback.

Preferred/Nice To Have Skills

• Hands-on exposure to frontend technologies such as HTML, CSS, JavaScript, TypeScript, React, Angular, or similar frameworks.
• Familiarity with backend development using Python, Java, Node.js, Spring Boot, or equivalent technologies.
• Experience working with relational or NoSQL databases such as PostgreSQL, MySQL, MongoDB, or similar systems.
• Familiarity with REST APIs, API integration, authentication, and application security fundamentals.
• Exposure to Git-based workflows and development platforms such as GitHub, GitLab, or Azure DevOps.
• Familiarity with Jenkins or another CI/CD platform, including build pipelines, automated checks, and deployment processes.
• Exposure to cloud platforms, containers, or development tools such as AWS, Azure, Docker, or Kubernetes.
• Experience with prompt engineering, retrieval-augmented generation (RAG), tool/function calling, AI-agent frameworks, or model evaluation techniques.
• Understanding of responsible AI practices, including data privacy, security, hallucination risks, code validation, and human-in-the-loop controls.
• Academic, personal, internship, or open-source projects involving application development, full-stack engineering, AI-assisted coding, or intelligent software solutions.