Full Stack Developer Intern

About DataFuel DataFuel is an eCommerce automation and analytics platform powering real businesses at scale. Our systems process large volumes of production data and drive decision-making through reliable backend infrastructure and intelligent automation. We are a product-first engineering team focused on building scalable systems, clean abstractions, and high-performance services. We value engineers who think deeply, take ownership, and build with intent. About the Role We are looking for a Backend-Focused Engineering Intern with strong fundamentals and curiosity for modern AI systems (agentic workflows, LLM-based reasoning systems, etc.). This is not a “task-based” internship — you will work on real production systems, contribute to core backend logic, and help build intelligent systems that interact with data, APIs, and automation pipelines. You should be someone who: Enjoys solving complex problems independently Can take a problem statement and drive it to execution Is curious about how modern AI systems are architected (not just used) What You’ll Work On * Build and extend backend services using Python \+ FastAPI * Design and implement APIs powering production features * Work with PostgreSQL for structured data modeling and querying * Develop asynchronous workflows and background processing systems * Contribute to systems that involve LLMs, agent workflows, and reasoning pipelines * Integrate and work with AWS services (S3, EC2, RDS, etc.) * Debug production issues and optimize performance bottlenecks * Collaborate across backend \+ frontend (TypeScript) for feature delivery * Write clean, testable, and maintainable code What We’re Looking For * Core Requirements * Strong fundamentals in Python * Good understanding of backend development (FastAPI / Flask / Django) * Solid grasp of APIs, HTTP, and web architecture * Working knowledge of SQL and relational databases * Ability to debug, reason, and think in systems * Comfortable using Git and version control * AI / Systems Thinking (Important) * Basic understanding of LLMs and how they are used in applications * Familiarity with concepts like: Prompting / structured outputs Agent workflows (planning → execution → iteration) Tool usage / function calling * Interest in building AI systems, not just consuming APIs * **Mindset (Very Important)** High ownership — you can take a problem and drive it end-to-end Ability to work with minimal hand-holding Strong problem-solving attitude Willingness to learn fast and adapt in a production environment **Nice to Have (Bonus)** Experience with async Python / concurrency Exposure to AWS or any cloud platform Understanding of Docker / deployment basics Familiarity with TypeScript or frontend basics Interest in system design and scalability **What You’ll Gain** Work on a live production SaaS product Hands-on experience with scalable backend systems Exposure to real-world AI system design (agentic workflows, reasoning systems) Mentorship from experienced engineers Opportunity for full-time conversion based on performance A steep learning curve — technically and professionally **Who Should Apply** This role is ideal for someone who: Has built a few projects and wants to go deeper into real systems Is not satisfied with tutorials and wants real engineering challenges Wants to work at the intersection of backend systems \+ applied AI Job Types: Full-time, Internship Contract length: 6 months Pay: ₹20,000\.00 - ₹35,000\.00 per month Application Question(s): * Current CTC * Expected CTC * Notice Period Education: * Bachelor's (Required) Work Location: In person