Job Description
Shape the Future of Intelligence. We are a cutting-edge research lab building the foundational models for the year 2026 and beyond. We are looking for a visionary Senior AI Engineer to lead our Generative AI initiatives.
In this role, you will bridge the gap between theoretical research and production-scale deployment. You will work on Large Language Models (LLMs), reinforcement learning, and autonomous agent architectures. If you are passionate about pushing the boundaries of what's possible in AI and want to build the technology of tomorrow, we want to meet you.
Responsibilities
- Model Development: Design, train, and fine-tune large-scale transformer models and multimodal architectures.
- Infrastructure Optimization: Build high-performance inference pipelines and optimize models for low-latency, high-throughput environments.
- RAG Implementation: Develop Retrieval-Augmented Generation systems to enhance model accuracy and reduce hallucinations.
- Research & Iteration: Experiment with novel architectures and cutting-edge algorithms to improve model performance.
- Collaboration: Partner with data scientists and product teams to translate technical capabilities into business value.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 5+ years of professional experience in machine learning, deep learning, or AI research.
- Programming: Proficiency in Python, C++, and experience with deep learning frameworks (PyTorch or TensorFlow).
- AI Expertise: Strong understanding of NLP, Transformers, and LLMs (e.g., GPT, LLaMA).
- Cloud Skills: Experience deploying models on AWS, GCP, or Azure using Docker and Kubernetes.
- Problem Solving: Ability to debug complex system-level issues and optimize computational efficiency.