Role Description
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