UZINFOCOM AI LABS

Backend Developer Internship

In short

This is a Backend Developer Internship in Tashkent, working onsite under mentor supervision on real backlog tasks. The role involves building REST APIs, writing SQL for PostgreSQL, using Docker and CI/CD, and learning message queues like Kafka or RabbitMQ, plus connecting to internal AI services. It requires basic programming knowledge (Python, Java, C#, or C++), understanding of REST, SQL, Git and testing, with a strong emphasis on willingness to learn.

Responsibilities
•Work on real tasks from our backlog, starting with small tickets, with a mentor checking your code
•Help build and support our REST APIs and add small features to existing services
•Fix bugs and write unit tests for your code
•Write SQL queries and make simple changes to our PostgreSQL database
•Use Docker for local development and help keep CI/CD pipelines running
•Learn how our services talk to each other through Kafka or RabbitMQ and try writing a simple producer or consumer
•Connect to our internal AI services and check how fast they respond
•Join code reviews and help keep our technical docs up to date
•Work closely with product, data and DevOps teams and see how a feature goes live
Requirements
•Basic Python (functions, OOP, data structures, error handling), or Java, C# or C++, and course projects count too
•Good basics in data structures, algorithms and OOP, and you can explain at least one SOLID principle
•You understand how REST APIs work: HTTP methods, status codes, JSON
•Basic SQL: joins, simple indexes and what a transaction is (PostgreSQL is a plus)
•You use Git every day: branches, commits, pull requests
•Basic idea of testing and unit tests
•You want to learn, take feedback well, look for answers yourself first and finish what you start
Nice to have
•Some experience with FastAPI, Docker or CI/CD
•You know what a message queue is, or you have tried Kafka or RabbitMQ
•You can explain the difference between a monolith and microservices, and you know why we use caching and load balancing
•You know a few design patterns like Factory, Strategy or Observer, and you are open to learning DDD
•You have used an AI model API or run a model locally in a project

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