AI Agent Engineering Intern
Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Machine Learning · Software Engineering
In short
We are seeking a motivated AI Agent Engineer Intern to design, develop, and evaluate AI agents using LLMs, RAG, and agent orchestration frameworks. This internship offers hands-on experience in building enterprise AI solutions and collaborating with a cross-functional team.
Responsibilities
- Design, build, and test AI agents using frameworks like Semantic Kernel, LangGraph, LangChain, CrewAI, or AutoGen.
- Develop agent workflows for reasoning, planning, and action execution via tools and APIs.
- Implement multi-agent collaboration scenarios for complex problem-solving.
- Integrate Large Language Models (OpenAI, Azure OpenAI, Claude, Gemini, or open-source models) into enterprise applications.
- Design prompts and tool-calling mechanisms to optimize agent performance.
- Evaluate and improve response quality, accuracy, and reliability.
- Implement backend services and APIs to support agent applications.
- Work with cloud platforms such as Azure, AWS, or enterprise cloud environments.
- Develop automation scripts and reusable engineering components.
- Create benchmarks and test cases for agent performance assessment.
- Analyze hallucinations, failures, and edge cases.
- Improve reliability, safety, and governance compliance.
- Stay current with advancements in Generative AI, AI Agents, LLMs, and RAG technologies.
- Prototype and demonstrate innovative AI solutions for real business challenges.
- Contribute to technical documentation and knowledge sharing.
Requirements
- Currently pursuing a Bachelor's, Master's, or PhD degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, Electrical Engineering, or related technical fields.
- Strong programming skills in Python (preferred), JavaScript/TypeScript, Java or C++ (optional).
- Basic understanding of Large Language Models (LLMs), Prompt Engineering, REST APIs, Data Structures and Algorithms.
- Familiarity with Git and software development practices.
- Familiarity with Cloud platforms or container technologies.
- Strong analytical and problem-solving skills.
- Good communication skills in English.
Benefits
- Hands-on experience in building enterprise AI solutions.
- Opportunity to work on automating workflows, improving knowledge access, and enhancing engineering productivity.
- Collaboration with AI engineers, software developers, domain experts, and product stakeholders.
- Exposure to innovative AI applications and business challenges.
#AI#Machine Learning#LLM#Agent Engineering#Internship#Software Development#Cloud
Company
Ericsson
Job Posted
1 month ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Entry
Locations
Beijing, China
Qualification
Undergraduate, Bachelor, Master, Doctoral
Applicants
Be an early applicant