AI Engineer Intern (AI Agent Development & Database)
Key Responsibilities
- AI Agent Development & LLM Integration
- Develop AI Agents using mainstream LLM APIs (e.g., OpenAI, DeepSeek, Claude, etc.).
- Design and optimize prompts (e.g., CoT), improving instruction-following, memory, and tool usage.
- Integrate Agents into existing systems or internal tools to support real business scenarios.
- Linux Deployment, Scripting & CI Integration
- Deploy and maintain AI / web services in Linux environments.
- Write Python / Shell scripts for one-click startup, log inspection, and basic automation.
- Help set up or optimize CI/CD pipelines (e.g., GitHub Actions / GitLab CI) to automate testing, building, and deployment.
- Basic Full-Stack Development & Database Work
- Participate in backend API development, mainly using Python (e.g., FastAPI / Flask).
- Make simple modifications and integrations on existing frontend pages (React / Vue / vanilla JS, etc.).
- Assist in database design and usage, write common SQL queries, and handle basic data cleaning and ETL tasks.
- Documentation & Collaboration
- Write deployment guides, API docs, and user manuals.
- Collaborate with product, algorithm, and engineering teammates to refine requirements and turn them into working solutions.
Qualifications
- Technical Skills
- Proficient in at least one programming language, with a strong preference for Python.
- Solid understanding of basic data structures and algorithms; able to read and modify existing code.
- Hands-on experience with at least one major LLM API, and familiarity with basic prompt design (e.g., CoT).
- Familiar with SQL and at least one database system (e.g., MySQL / PostgreSQL / MongoDB).
- Comfortable developing and debugging in Linux, with knowledge of common commands and basic scripting.
- Experience with AI coding tools (e.g., GitHub Copilot, Cursor, Claude Code) is a plus.
- Familiarity with MCP protocol or Agent tool-calling ecosystems is a plus.
- Knowledge
- Currently pursuing a Bachelor’s degree or above in Computer Science, Software Engineering, AI, or related fields.
- Clear project experience (course projects / personal projects / competitions / open-source, etc.) and able to describe your own responsibilities and contributions.
- Preferred Skills
- Project experience related to AI Agents, RAG, or automation scripts.
- Exposure to Docker / containerization and CI/CD tools (GitHub Actions / GitLab CI / Jenkins, etc.).
- Experience in database optimization or data ETL.
What We’re Looking For
- You are willing to set up environments by yourself, read error logs, troubleshoot, and learn independently.
- You care about AI engineering and productization, not just model theory.
- You communicate clearly and can explain both your problems and the approaches you’ve already tried.
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