AI Engineer (LLM & Edge AI)
Core
Design, develop, optimize, and deploy Large Language Models (LLMs) and Vision Language Models (VLMs) on embedded and edge computing platforms.
Role type
Senior IC AI Engineer (LLM & Edge AI)
Builds
AI agents, MCP tools, and optimized models for embedded hardware
Domain
Embedded systems + Generative AI
Deliverable
production ML models
Required skills
LLM/VLM development, model fine-tuning, Agentic AI frameworks, MCP tools integration, PyTorch/TensorFlow/Hugging Face, embedded deployment, Linux environments
Preferred skills
Model optimization, multimodal AI systems, embedded systems performance tuning
Responsibilities
Design and optimize AI solutions based on LLMs and VLMs, Fine-tune foundation models for specific use cases, Develop and maintain AI agents using modern Agentic Frameworks, Design and develop MCP tools and integrate them into AI agent workflows, Evaluate model performance, accuracy, latency, and resource utilization, Deploy and optimize AI models on embedded and edge computing platforms
