AI Agent Engineer Intern — Backend & Microservices

ByteDance; Dubai; On-site; AED 22,000 - 45,000; Full time

Job summary

Byte Dance is offering an internship where you will be embedded in the intelligent enterprise-services team, contributing to backend services and AI-enabled features. You will work side-by-side with product, design, and cross-regional engineering teams in a fast-paced environment.

You will gain hands-on experience on short-term projects, learn industry best practices, and develop documentation while exploring AI Agent architectures and their practical applications.

Qualifications

• Currently pursuing an undergraduate in CS, AI, or related technical discipline.
• Available to start the internship immediately.
• Strong knowledge of data structures, algorithms, and systems.
• Proficiency in Golang, Java, or Python.
• Experience with distributed systems and microservices.
• Familiarity with AI Agent architectural patterns.

Responsibilities

• Contribute to backend services and the Agent runtime, focusing on code quality, readability, and maintainability.
• Assist in profiling and tuning for performance and stability.
• Help integrate internal enterprise systems into Agents via Tools / MCP / CLI / A2A.
• Participate in code reviews, and learn and follow the team's coding standards and architectural conventions.
• Write clear, AI-friendly technical documentation and contribute to the team knowledge base.
• Explore embedding AI capabilities into backend services, and support AI‑driven feature development, evaluation, and validation.

Skills

Golang

Java

Python

Distributed systems

AI Agent patterns

Data structures

Communication

Collaboration

Education

Undergraduate in Computer Science / AI / Information Management

Tools

Lang Chain

Lang Graph

Claude Agent SDK

Prompt Engineering

Context Management

Evaluation

Job description

Byte Dance is offering an internship where you will be embedded in the intelligent enterprise-services team, contributing to backend services and AI-enabled features. You will work side-by-side with product, design, and cross-regional engineering teams in a fast-paced environment.

You will gain hands-on experience on short-term projects, learn industry best practices, and develop documentation while exploring AI Agent architectures and their practical applications.