AI Engineer Internship - Agentic AI (Backend)

The role

This person will develop and operate backend systems for Agentic AI services. They will build MCP servers for product design automation and manage computing resources for multi-user access.

What you will do

• Build MCP servers and systems for automating product design using LLM reasoning, planning, and tool use
• Modularize design and optimization algorithms, implement tool call integration and interfaces
• Allocate and schedule computing resources like CPU and GPU for multi-user access and task execution
• Design and implement servers and databases for service operation, write API specifications and technical documents
• Implement systems for collecting user feedback and managing improvements

Required qualifications

• Undergraduate or graduate student or graduate in related majors (Computer Science, Electronic/Electrical Engineering, Artificial Intelligence, etc.)
• Experience in Python-based backend server development
• Submit portfolio of participating projects
• Understanding and design, implementation, and documentation capabilities for API and Database
• Understanding of development tools such as Git and Docker
• Development and work experience in Linux environment
• Understanding of basic principles of Machine Learning techniques and models
• Ability to use AI coding tools efficiently and responsibly
• LLM / Agent: LLM API integration, Tool calling and MCP, Agent framework utilization
• Infra: Container (Docker), Orchestration (Kubernetes), GPU resource management, CI/CD
• Collaboration: Git-based collaboration, code review and technical documentation
• Data: RDBMS/NoSQL design and operation, Cache/Message Queue (Redis, etc.)

Nice to have

• Full-stack development experience considering frontend (Node.js, TypeScript, Go, etc.)
• Experience in design, implementation, and operation of commercial LLM API integration services
• Experience in development, training, and evaluation of Machine Learning models
• Experience in design, implementation, and operation of multi-node servers using Kubernetes, etc.

Before you apply

• Submit portfolio of participating projects
• Process includes document screening, online coding test, LG Way Fit Test, and non-face-to-face technical interview
• LG AI Research is not a military service designated company, so recruitment of technical research personnel and transfers is not possible

About the company

Data Intelligence Lab researches and develops the latest Deep Learning algorithms to perform advanced data analysis, prediction, and complex data optimization. The Industrial Optimization Tech Cell researches new optimization methodologies by combining Machine Learning, reinforcement learning, and Large Language Models (LLM).