About DataFuelDataFuel 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 RoleWe 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 independentlyCan take a problem statement and drive it to executionIs curious about how modern AI systems are architected (not just used)What Youll Work OnBuild and extend backend services using Python + FastAPIDesign and implement APIs powering production featuresWork with PostgreSQL for structured data modeling and queryingDevelop asynchronous workflows and background processing systemsContribute to systems that involve LLMs, agent workflows, and reasoning pipelinesIntegrate and work with AWS services (S3, EC2, RDS, etc.)Debug production issues and optimize performance bottlenecksCollaborate across backend + frontend (TypeScript) for feature deliveryWrite clean, testable, and maintainable codeWhat Were Looking ForCore RequirementsStrong fundamentals in PythonGood understanding of backend development (FastAPI / Flask / Django)Solid grasp of APIs, HTTP, and web architectureWorking knowledge of SQL and relational databasesAbility to debug, reason, and think in systemsComfortable using Git and version controlAI / Systems Thinking (Important)Basic understanding of LLMs and how they are used in applicationsFamiliarity with concepts like:Prompting / structured outputsAgent workflows (planning execution iteration)Tool usage / function callingInterest in building AI systems, not just consuming APIsMindset (Very Important)High ownership you can take a problem and drive it end-to-endAbility to work with minimal hand-holdingStrong problem-solving attitudeWillingness to learn fast and adapt in a production environmentNice to Have (Bonus)Experience with async Python / concurrencyExposure to AWS or any cloud platformUnderstanding of Docker / deployment basicsFamiliarity with TypeScript or frontend basicsInterest in system design and scalabilityWhat Youll GainWork on a live production SaaS producHands-on experience with scalable backend systemsExposure to real-world AI system design (agentic workflows, reasoning systems)Mentorship from experienced engineersOpportunity for full-time conversion based on performanceA steep learning curve technically and professionallyWho Should ApplyThis role is ideal for someone who:Has built a few projects and wants to go deeper into real systemsIs not satisfied with tutorials and wants real engineering challengesWants to work at the intersection of backend systems + applied AI
