**Key Objectives** In this position you will work on but not limited to the AI Agent Development, latest tech trend analysis. **Core Responsibilities** • Agent Architecture & Workflow Engineering: Build and explore robust Agent or Multi-Agent system using modular skills, MCP, external tool integrations, and RAG. • Rapid Prototyping & Technical Validation: Build prototypes to evaluate performance, feasibility, and scalability of new papers, open-source models, and solutions. • Domain Innovation & Emerging Tech Research: Conduct research on state-of-the-art (SOTA) advancements in multimodal models (VLM, Speech2Speech), Edge AI implementations, and smart mobility/automotive domain solutions. **Technical Requirements** • AI & Agent Fundamentals: Solid understanding of core agentic concepts—including MCP, tool calling, skills, RAG, Context and foundational Machine Learning principles. • Backend Systems & Infrastructure: Experience or familiarity with backend development(Redis, PubSub), asynchronous programming, web protocols (FastAPI/Flask, WebSockets). • Modern Development & Coding: Proficiency in Python and development tools (e.g., GitHub Copilot, Qoder, WorkBuddy) to accelerate research and rapid prototyping cycles. **Preferred Qualifications** • Strong enthusiasm for exploring SOTA research papers, open-source AI frameworks, and emerging new technology. • Keen interest in automotive tech, smart mobility, and connected vehicles is a plus. **Intern Timeframe** • Starting from December 2026. • Make sure 4 days per week working efforts, and 6 months internship is needed.