Backend Developer Intern

Join Concur - Consent manager dedicated to simplifying data compliance under the Digital Personal Data Protection Act, 2023. As we emerge from stealth mode, we're looking for passionate Backend Developer Interns who want to build enterprise-grade SaaS platforms while learning how modern backend systems are engineered in the era of AI.

The Future of Software Development

Software development is changing rapidly.

Today, AI tools can generate code, write tests, explain errors, and even build complete APIs. Because of this, writing code is no longer the most valuable skill on its own.

What matters more is understanding:

• What problem needs to be solved.
• Why a particular architecture is appropriate.
• How scalable backend systems are designed.
• How APIs, databases, queues, authentication, caching, and infrastructure work together.
• How to communicate requirements clearly to AI coding assistants and fellow engineers.
• How to review, validate, improve, and maintain AI-generated code.
• How to build secure, reliable, and maintainable software.

During this internship, you will certainly write code yourself, but you will also learn how to work alongside AI development tools such as ChatGPT, Claude, Gemini, Cursor, GitHub Copilot, and other coding agents. We expect interns to think like backend engineers—not just programmers.

The best developers of the future will not be those who type the fastest, but those who understand systems, architecture, scalability, security, and can effectively direct AI to build production-quality software.

What You'll DoBackend Development

Develop RESTful APIs and backend services using Python and FastAPI while following enterprise software engineering best practices.

AI-Assisted Software Development

Learn how to effectively use AI coding assistants to:

• Design backend architectures
• Generate APIs and business logic
• Review and improve generated code
• Debug complex backend issues
• Refactor existing services
• Produce secure, scalable, production-ready software

API Development

Design, build, document, and maintain REST APIs with proper validation, authentication, authorization, error handling, and versioning.

Database Development

Work with relational databases such as PostgreSQL. Design schemas, write efficient queries, optimize database performance, and understand transactions, indexing, and migrations.

Authentication & Security

Implement secure authentication, authorization, RBAC, input validation, and follow backend security best practices.

Background Processing

Develop asynchronous tasks, scheduled jobs, queues, and event-driven workflows where appropriate.

Performance & Scalability

Optimize APIs, database queries, caching strategies, concurrency, and application performance for production workloads.

Debugging & Troubleshooting

Identify root causes of issues using logs, monitoring tools, and systematic debugging techniques instead of trial-and-error.

Code Quality

Participate in code reviews, maintain coding standards, write reusable modules, and improve maintainability through clean architecture principles.

Refactoring

Continuously improve existing services by simplifying code, improving modularity, and reducing technical debt.

Continuous Learning

Stay current with Python, FastAPI, backend architecture, cloud technologies, AI-assisted development workflows, and engineering best practices.

What We're Looking ForEducational Background

Currently pursuing or recently completed a degree in Computer Science, Information Technology, Software Engineering, or a related field.

Strong Fundamentals

We value strong fundamentals over simply knowing frameworks.

You should have a solid understanding of:

• Python
• Object-Oriented Programming (OOP)
• Data Structures & Algorithms
• REST APIs
• HTTP fundamentals
• SQL and relational databases
• FastAPI (preferred) or Flask/Django
• Git
• Basic Linux command line
• Problem solving

Understanding why a system is designed a certain way is far more valuable than simply knowing how to use a framework.

AI Mindset

Comfortable learning and working with AI-assisted development tools. Ability to write clear prompts, critically evaluate AI-generated code, identify mistakes, and improve implementations rather than accepting outputs blindly.

Systems Thinking

Interest in understanding how APIs, databases, authentication, caching, background workers, cloud infrastructure, and distributed systems work together to build reliable software.

Problem Solving

Strong analytical skills with the ability to decompose complex backend features into smaller, well-designed implementation tasks.

Communication

Excellent verbal and written communication skills with the ability to explain technical decisions clearly.

Team Player

Enjoy working in a collaborative, fast-paced startup environment where continuous learning and knowledge sharing are encouraged.

Curiosity

A genuine passion for backend engineering, scalable system design, emerging technologies, and building software that solves real-world problems.

Tools You'll UseAI Development Tools

• ChatGPT
• Claude
• Perplexity
• Gemini
• DeepSeek
• Other AI coding assistants

Development Tools

• Visual Studio Code
• Git & GitHub
• FastAPI
• PostgreSQL
• Docker
• Postman / Bruno
• Linux Terminal
• Swagger / OpenAPI

Internship Details

• Position: Full-time or Part-time Internship
• Expected Commitment: Minimum 4–5 hours per day
• Duration: 3 Months (90 Days)
• Internship Type: Paid

Remuneration

• Monthly Stipend: ₹15,000–₹20,000
• Pre-Placement Offer (PPO): Based on performance and business requirements
• Internship Certificate upon successful completion
• Industry recommendations and networking opportunities
• Hands-on experience building enterprise SaaS platforms for regulatory compliance

What Success Looks Like

By the end of this internship, you should be able to:

• Design and build production-ready backend services.
• Develop secure, scalable REST APIs.
• Understand modern backend architecture and system design.
• Work effectively with AI coding assistants.
• Review and improve AI-generated code instead of blindly accepting it.
• Design efficient database schemas and write optimized queries.
• Debug backend applications systematically using logs and observability tools.
• Contribute confidently to enterprise-scale software development.

We're looking for engineers who are eager to learn, think critically, embrace AI as a productivity multiplier, and build backend systems that are secure, scalable, and reliable.