Backend Developer Internship (AI)

Location: On-site in Tashkent, Yakkasaray district, Tafakkur Street, 68A

Company

Work on backend services that integrate with internal AI services.

What you will do

• Complete real backlog tasks, starting with small tickets under mentor code review.
• Build and support REST APIs and add features to existing services.
• Fix bugs, write unit tests, and create SQL queries and simple PostgreSQL changes.
• Use Docker for local development and help maintain CI/CD pipelines.
• Learn service communication through Kafka or RabbitMQ and implement a simple producer or consumer.
• Connect to internal AI services, check response speed, participate in code reviews, and update technical documentation while collaborating with product, data, and DevOps teams.

Requirements

• Basic Python, including functions, OOP, data structures, and error handling; Java, C#, or C++ is also accepted. Course projects count.
• Basic knowledge of data structures, algorithms, and OOP, with the ability to explain at least one SOLID principle.
• Understanding of REST APIs, including HTTP methods, status codes, and JSON.
• Basic SQL knowledge, including joins, simple indexes, and transactions; PostgreSQL is a plus.
• Daily use of Git, including branches, commits, and pull requests.
• Basic understanding of testing and unit tests.
• Willingness to learn, accept feedback, search for answers independently first, and finish started work.

Nice to have

• Experience with FastAPI, Docker, or CI/CD.
• Understanding of message queues or experience with Kafka or RabbitMQ.
• Understanding of monoliths, microservices, caching, and load balancing.
• Knowledge of design patterns such as Factory, Strategy, or Observer, and openness to learning DDD.
• Experience using an AI model API or running a model locally in a project.

Culture & Benefits

• Full-time on-site internship in Tashkent.
• Mentor support and code reviews while working on real backlog tasks.
• Collaboration with product, data, and DevOps teams and exposure to the full feature delivery process.