[Hiring] Backend Engineering Intern @Advertising Saga

Role Description

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

Qualifications

• 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

Requirements

• 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

• 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

Benefits

• 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