Project Objective: Design and implement a proof-of-concept system that demonstrates how LLMs can generate and manage interactive UI components through MCP server architecture. The goal is to explore how natural language processing can create more intuitive, adaptive interfaces for content creators using Elgato products.

Key Responsibilities:

Research and evaluate LLM integration strategies for real-time UI generation
Develop MCP server components that bridge LLM outputs with interactive UI elements
Create proof-of-concept demonstrations showcasing dynamic interface adaptation
Document technical findings and present recommendations for production feasibility
Collaborate with product and engineering teams to align the PoC with Elgato's ecosystem
Test and iterate on user interaction patterns and interface responsiveness

Required Skills:

Strong programming foundation (JavaScript/TypeScript, Python, or similar)
Understanding of web technologies (HTML, CSS, React/Vue/Angular)
Familiarity with API development and server-client architecture
Basic knowledge of machine learning concepts and LLM APIs
Problem-solving mindset and ability to work with emerging technologies

Preferred Qualifications:

Experience with AI/ML frameworks or LLM APIs (OpenAI, Anthropic, etc.)
Knowledge of Model Context Protocol (MCP) or similar integration patterns
UI/UX design sensibility for creator tools
Interest in content creation workflows and streaming technology

Software Engineer Internship

Corsair