Enterprise Services AI Agent Engineer Graduate (Corporate Service System - Workplace Service) - 2027 Start

About the Team

We are building an intelligent enterprise-services platform to power ByteDance's global growth and operations. Guided by an AI-First philosophy, the team delivers AI solutions built on industry best practices. As a campus-hire AI Application Engineer, you will contribute to the end-to-end delivery of AI-powered business systems. Working alongside product, design, and cross-regional engineering teams, you will grow rapidly into an engineer capable of independently building AI products.

We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume. Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to our Company and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Online Assessment Candidates who pass resume screening will be invited to participate in Our Company's technical online assessment.

Responsibilities

• Build backend services and the Agent runtime, ensuring code quality, readability, and maintainability; continuously improve system performance and stability through profiling and tuning.
• Integrate internal enterprise systems into Agents via Tools / MCP / CLI / A2A.
• Take an role 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 contribute to AI-driven feature development, evaluation, and validation.

Qualifications

Minimum Qualifications

• Bachelor's degree or above in Computer Science, AI, or a related field.
• Solid foundation in data structures, algorithms, and computer systems, with strong coding habits.
• Proficiency in one or more of Golang / Java / Python.
• Hands-on experience with distributed systems and microservice architecture.
• Hands-on experience with, and understanding of, AI Agent architectural patterns (reasoning, memory management, multi-Agent collaboration, etc.).
• Strong communication and collaboration skills; genuine interest in exploring the Agent engineering ecosystem.

Preferred Qualifications

AI related Experience

• AI product Builder: as a core contributor to build an AI product / Agent / application aimed at real world users. able to articulate the product positioning, technology choices, user scale, and iteration process.
• Hands-on experience with different mainstream Agent frameworks (e.g., LangChain / LangGraph, Claude Agent SDK, etc.), Prompt Engineering, Harness Engineering, Context Management and Evaluation.

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