AI Research Engineer (HQ)

What You'll Work On
You will contribute to frontier AI research and development in areas including:

Autonomous AI Systems
-AI Agents, Agentic AI, reasoning, planning, and tool use
-Retrieval-Augmented Generation (RAG)
-Memory, Skills, and Model Context Protocol (MCP)

Foundation Models
-Large Language Models (LLMs)
-Multimodal AI and Vision-Language Models (VLMs)
-Time-Series Foundation Models
-Reinforcement Learning, Transfer Learning, Diffusion Models, and model optimization

Scientific AI
-Physics-Informed Neural Networks (PINNs)
-Neural Operators
-Flow Matching
-Scientific Machine Learning

You will build AI systems across the research lifecycle—from experimentation and model development to evaluation and real-world deployment.

Requirements

We are looking for researchers and engineers who enjoy solving challenging AI problems.

You may have experience with:
-Deep Learning, Generative AI, Foundation Models, or AI Agents
-Python and PyTorch
-Model training, fine-tuning, evaluation, and data engineering
-Hugging Face ecosystem (Transformers, PEFT, Datasets, Tokenizers)
-Open-source AI frameworks such as vLLM, LangChain, LlamaIndex, or LlamaFactory

Experience with C/C++ or high-performance AI systems is a plus.