Senior 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 AI Engineer (LLM & Edge AI)
Builds
AI agents, MCP tools, and optimized models for embedded hardware
Domain
Embedded systems and Generative AI
Deliverable
production ML models
Required skills
LLM/VLM development, model fine-tuning, agentic AI frameworks, MCP tools, PyTorch, TensorFlow, Hugging Face, embedded systems deployment, AI system design
Preferred skills
Model optimization, Linux environments, multimodal AI systems, embedded systems performance tuning
Technologies
PyTorch, TensorFlow, Hugging Face, MCP tools
Responsibilities
Design and develop AI solutions based on LLMs and VLMs, fine-tune models for specific use cases, develop and maintain AI agents, deploy and optimize AI models on edge platforms, evaluate model performance and resource utilization, provide technical guidance to team members
Seniority
Senior, hands-on IC
