We are building an intelligent enterprise-services platform to power the company's global growth and operations. As a Project Intern, you will contribute to impactful short-term projects and gain hands-on experience in a fast-paced, professional environment. This internship offers the opportunity to develop practical skills, apply your knowledge to real-world challenges, and explore your career interests.
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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.
Requirements
Minimum Qualifications:
- Currently pursuing an Undergraduate degree in Computer Science, AI, Information Management, or a related technical discipline.
- Available to start the internship immediately, ideally within one week.
- Solid foundation in data structures, algorithms, and computer systems, with strong coding habits.
- Proficiency in one or more of Golang, Java, or Python.
- Hands-on experience with distributed systems and microservice architecture.
- Familiarity with or hands-on experience in 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 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 mainstream Agent frameworks (e.g., LangChain / LangGraph, Claude Agent SDK, etc.), Prompt Engineering, Harness Engineering, Context Management, and Evaluation.
