Aumovio

AI Engineer Intern (AI Agent Development & Database)

Shanghai, YANGPU, China · On-site · Internship

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

Key Responsibilities

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.

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.

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.

Show full description

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

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.

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.

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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