Software Engineer Intern

About the Role

IndusLabs is looking for a passionate and technically driven Software Development Engineer (SDE) Intern to contribute to the development of scalable AI-powered applications and enterprise software solutions. The selected intern will work on building and improving software systems that power IndusLabs' Voice AI platform, including backend services, APIs, user interfaces, real-time communication systems, and AI integration workflows. This role offers hands-on exposure to software engineering, cloud technologies, and real-world AI product development.

Key Responsibilities

• Develop, test, and maintain scalable web applications and backend services.
• Build and integrate REST APIs for AI-powered voice and conversational applications.
• Collaborate with AI/ML engineers to integrate STT, TTS, and conversational AI models into production applications.
• Work on real-time communication workflows, API integrations, and application performance improvements.
• Assist in database design, optimization, and backend architecture.
• Identify and resolve bugs, improve code quality, and maintain technical documentation.
• Participate in code reviews, testing, and collaborative software development.
• Support deployment, monitoring, and maintenance of applications.

Requirements & Tech Stack

• Strong understanding of Data Structures and Algorithms.
• Programming knowledge in Python, JavaScript, TypeScript, or Java.
• Familiarity with React.js, Next.js, Node.js, or FastAPI.
• Understanding of REST APIs and backend development.
• Basic database knowledge: PostgreSQL, MySQL, or MongoDB.
• Knowledge of Git and GitHub.
• Strong analytical and problem-solving abilities.

Good to Have

• Experience with Docker, AWS, or other cloud platforms.
• Familiarity with WebSockets and real-time applications.
• Basic understanding of LLM APIs and AI integrations.
• Experience building and deploying full-stack applications.

What You'll Gain

• Hands-on experience building production-oriented AI applications, collaborating with AI engineers, and understanding how enterprise software products are developed and deployed.