AI Engineering Intern

Location: Pune, India

Department: Engineering

Experience: 0

• Build and improve web applications, product features, and internal tools.
• Work across frontend and backend systems using technologies such as React, JavaScript/TypeScript, Node.js, Python, and databases.
• Develop APIs, integrate services, and work with databases to support product functionality.
• Write clean, reusable, maintainable code and understand the fundamentals behind what you build.
• Debug issues, test solutions, and improve application performance and reliability.

• Use AI-powered coding tools such as Cursor, Claude Code, and Codex to accelerate development and solve engineering problems.
• Experiment with prompt engineering and AI workflows to generate, refine, debug, and improve code.
• Build functional prototypes and small applications using AI-assisted development approaches.
• Evaluate AI-generated code critically, validate outputs, and ensure code quality, security, and reliability.
• Explore opportunities to automate repetitive development tasks using AI and other tools.

• Convert product ideas, UI designs, and workflows into functional prototypes.
• Experiment with tools such as Figma and Framer to bridge the gap between design and implementation.
• Explore design-to-code and prompt-to-prototype workflows to build and iterate on features quickly.
• Collaborate with product managers and designers to understand requirements and deliver usable solutions.

• Work with experienced engineers to design, build, test, and ship product features.
• Identify technical bottlenecks and suggest practical improvements.
• Learn software engineering fundamentals, including version control, APIs, testing, debugging, and deployment.
• Stay curious about emerging AI models, developer tools, and engineering practices.

• Currently pursuing or recently graduated from Computer Science, Engineering, or a related technical field.
• Strong logical reasoning, problem-solving skills, and curiosity about how software works.
• Basic programming knowledge in at least one language, such as JavaScript, TypeScript, Python, Java, or C++.
• Familiarity with basic web development concepts, APIs, databases, or application development through coursework or personal projects.
• Genuine interest in AI-powered development tools and experimenting with tools such as Cursor, Claude Code, or Codex.
• Willingness to learn new technologies, experiment independently, and take ownership of small projects.
• Ability to communicate ideas clearly and collaborate with a team.

• Personal projects, GitHub repositories, hackathon projects, or deployed applications.
• Experience using AI tools to build, debug, or improve an application.
• Familiarity with Figma, Framer, design systems, or design-to-code workflows.
• Exposure to React, React Native, Node.js, Python, REST APIs, SQL/NoSQL databases, or cloud platforms.
• Experience building prototypes using natural-language prompts or AI coding assistants.
• Understanding of Git, testing, deployment, and basic software architecture.

• Enjoy building things rather than just learning theory.
• Are curious about how AI can change the way software is developed.
• Can think critically about AI-generated code instead of blindly accepting it.
• Are comfortable experimenting, learning from failures, and iterating quickly.
• Want to grow into an engineer who can take an idea from concept to a working product.

• Hands-on experience building real-world products at a fast-growing startup.
• Exposure to modern software engineering practices and AI-powered development workflows.
• Opportunities to experiment with emerging tools and technologies.
• Mentorship from experienced engineers and opportunities to take ownership of projects.
• A collaborative environment where curiosity, initiative, and practical problem-solving are valued.