Amber AI Engineering Intern 2026: Software Engineering Internship in Pune
Amber is offering an AI + Software Engineering Intern opportunity in Pune for students and recent graduates who want to build real software products using modern development tools and AI-assisted workflows. The internship is open to candidates with zero years of professional experience, provided they have basic programming knowledge and a genuine interest in learning through practical projects.
Unlike a conventional AI/ML internship centred on model training or academic research, this position combines full-stack development, AI-assisted coding, rapid prototyping and product engineering. Interns will work on web applications, APIs, databases and internal tools while learning how to evaluate and improve code generated by AI systems.
Amber AI Engineering Intern: Job overview
| Detail | Information |
|---|---|
| Company | Amber |
| Role title | AI + Software Engineering Intern |
| Location | Pune, Maharashtra, India |
| Experience | 0 years; freshers welcome |
| Employment type | Internship |
| Work focus | Software engineering, AI-assisted development and rapid prototyping |
| Eligible candidates | Students or recent graduates in Computer Science, Engineering or a related technical field |
| Programming languages | JavaScript, TypeScript, Python, Java or C++ |
| AI coding tools | Cursor, Claude Code and Codex |
| Stipend | Not disclosed in the supplied description |
| Internship duration | Not specified |
| Application deadline | Not specified |
About Amber
Amber operates a long-term student accommodation booking platform that helps students find and book housing near universities. Its product aims to simplify the accommodation process for students moving between cities and countries.
The company’s engineering work supports the digital experience behind this service. For an intern, that creates opportunities to work on practical product challenges, from improving web interfaces to integrating services and developing tools that support business operations.
What makes this internship different?
The defining feature of this role is the expectation that interns use AI as a development aid while retaining responsibility for the quality of the software they build.
1. Build working product features
Interns may contribute across frontend and backend development, using technologies such as React, JavaScript or TypeScript, Node.js, Python and databases. Responsibilities include building web applications, creating APIs, integrating services and improving existing features.
The focus is on delivering usable functionality, not just experimenting with isolated code snippets.
2. Use AI coding tools critically
The listing names Cursor, Claude Code and Codex as examples of AI-powered development tools. Interns may use these tools to generate code, refine implementations, investigate bugs and accelerate prototyping.
However, accepting generated code without understanding it is not the expectation. Candidates should be able to inspect the output, test its behaviour, identify potential security problems and explain why a proposed implementation is appropriate.
3. Turn designs into prototypes
The role also involves translating product ideas, interface designs and workflows into working prototypes. Tools such as Figma and Framer are mentioned as ways to explore design-to-code and prompt-to-prototype workflows.
This makes the internship relevant to people who enjoy moving from an idea or visual design to a functioning application.
4. Learn engineering practices
Interns will work with experienced engineers and collaborate with product managers and designers. The listing also highlights version control, testing, debugging, deployment, maintainable code and application reliability.
These fundamentals remain important even when AI tools make it faster to produce an initial implementation.
Eligibility criteria
According to the supplied job description, candidates should meet the following requirements:
- Be currently pursuing or have recently graduated from Computer Science, Engineering or a related technical field.
- Have basic programming knowledge in at least one language: JavaScript, TypeScript, Python, Java or C++.
- Understand basic web development, APIs, databases or application development through coursework or personal projects.
- Demonstrate logical reasoning, problem-solving ability and curiosity about how software works.
- Have a genuine interest in AI-powered development tools.
- Be willing to learn independently, experiment and take ownership of small projects.
- Communicate ideas clearly and collaborate with a team.
What skills can strengthen your application?
The following are listed as useful additional skills rather than universal mandatory requirements:
- React or React Native
- Node.js and Python
- REST APIs and SQL or NoSQL databases
- Cloud platforms
- Git, testing and deployment
- Figma, Framer and design systems
- Personal projects, GitHub repositories, hackathon work or deployed applications
- Experience using AI tools to build, debug or improve software
A practical portfolio idea for this role
A small, complete application can demonstrate several of the qualities Amber is looking for.
For example, build a simple accommodation discovery application with a frontend, a backend API and a database. Include search or filtering, basic input validation and clear error handling. You could use an AI coding assistant during development, but keep track of what it generated, what you changed and how you verified the final result.
A project like this can help you explain:
- How the frontend communicates with the backend.
- How the API processes and validates requests.
- How data is stored and retrieved.
- How you tested the main user flows.
- Which AI-generated suggestions required correction.
- How you would improve reliability or security.
How to prepare for AI-assisted development
Candidates can practise a simple workflow before applying:
- Choose a small feature with a clear purpose.
- Use an AI coding tool to help plan or implement part of it.
- Review the generated code for correctness, readability and security.
- Run tests and try inputs that could expose errors.
- Refine the implementation and document what changed.
Be prepared to discuss the limits of AI-generated output. For example, code can appear correct while mishandling edge cases, exposing sensitive information or failing under unexpected input. Showing that you verify your work demonstrates the engineering judgement this internship emphasises.
What Amber offers
The supplied description highlights hands-on experience with real products, exposure to modern software engineering and AI-assisted development practices, mentorship from experienced engineers, and opportunities to take ownership of projects.
How to apply for the Amber AI Engineering Internship
A third-party careers listing currently advertises the AI + Software Engineering Intern role and directs applicants to Amber’s recruitment system. Check the current vacancy and its application instructions before submitting your details.