Engineering Intern (Automation)

As a member of the global Automation Test team, you will participate in automation test platform development.

After interning with this team for over six months, you will:

• Gain engineering experience primarily in Python, LLM, Automation, etc.
• Deepen your understanding of the development environment and automation test.
• Improve your problem-solving and analytical skills
• Enhance your experience working in an English environment and collaborating with international teams

Internship Duration

• The internship can start immediately upon successful interview
• Work 3–5 days per week
• The internship period is 6 months or longer

Responsibilities

• Design and develop AI-powered tools that automate software testing activities.
• Build solutions leveraging Large Language Models (LLMs) for the (Robot Framework) automation test script creation based on the existing test cases (text)
• Integrate AI capabilities into existing test automation frameworks and CI/CD pipelines.
• Develop agent-based workflows using modern AI ecosystems such as LangChain, LangGraph, AutoGen, Semantic Kernel, or similar frameworks.
• Work with QA engineers to understand testing challenges and translate them into AI-driven solutions.
• Conduct experiments and prototype innovative AI applications that improve engineering productivity.
• Collect and analyze AI model performance metrics to drive continuous improvement.
• Collaborate with software engineers, test engineers, and product teams in an agile development environment.
• Prepare technical documentation and presentations to communicate project outcomes.

Qualifications

Education

• Currently pursuing a Bachelor's, or Master's degree in, Artificial Intelligence, Computer Science, Machine Learning, Data Science, Software Engineering, Or a related technical discipline

Technical Skills

• Strong programming skills in one of following programing languages: Python, Go, C/C++, Jave .etc.
• Understanding of Machine Learning and Generative AI fundamentals.
• Experience working with Large Language Models (LLMs).
• Familiarity with prompt engineering and Retrieval Augmented Generation (RAG).
• Knowledge of software development best practices and version control systems (Git).
• Basic understanding of software testing and automation concepts.
• Strong problem-solving and analytical thinking skills.

Communication & Collaboration

• Strong written and verbal communication skills.
• Ability to work effectively in a collaborative team environment.
• Self-motivated, eager to learn, and passionate about emerging AI technologies.

Preferred Qualifications

Candidates with one or more of the following experiences will be highly preferred:

• Hands-on experience developing LLM-based applications.
• Experience with OpenAI, Azure OpenAI, Gemma4, Anthropic Claude, Gemini, DeepSeek, Qwen, Llama, or similar models.
• Familiarity with AI frameworks such as, LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, LlamaIndex
• Experience building AI Agents or multi-agent systems.
• Experience with RAG architectures and vector databases (FAISS, Chroma, Pinecone, Milvus, etc.).
• Familiarity with software test automation tools such as, Pytest, Robot Framework, Selenium, Playwright
• Participation in AI competitions, open-source projects, research projects, or published papers.
• Experience developing enterprise AI applications deployed in production environments.

Allowance

• 200-280 RMB per day, adjusted based on the internship stage and performance.

Benefits

• Outstanding interns will be added to the Calix talent pool and considered for full-time positions
• Work in a global team with a multinational environment
• Open and transparent culture with friendly and equal mentors and colleagues
• Flexible working hours, no need to clock in
• Flexible work location, with the option for remote work when needed
• Adjustable desks and chairs for standing work
• Free drinks, fruits, and afternoon tea
• Free gym with shower facilities