Intern, AI Engineering
Core
Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks.
Role type
Research Intern, LLM-based agentic systems
Builds
AI systems serving millions of users across global enterprises
Domain
Enterprise AI, Large Language Models, Agentic Systems
Deliverable
research
Required skills
Python, PyTorch, LLM agent architecture design, efficient LLM fine-tuning, high-performance LLM inference optimization
Preferred skills
CUDA programming, custom kernel development, reinforcement learning, production inference systems (vLLM, TensorRT-LLM, SGLang), open-source ML infrastructure contributions
Technologies
PyTorch, vLLM, TensorRT-LLM, SGLang, Hugging Face
Responsibilities
Conduct original research on LLM agent architectures and optimization techniques; Develop and evaluate novel algorithms with both academic rigor and production feasibility; Present work at internal research seminars and external conferences; Mentor and collaborate with LLM engineers on implementation and deployment
Seniority
Intern, graduate student level
