Job Description
We are pioneers in the field of Generative Autonomy, looking to define the technological landscape of 2026 and beyond. Our mission is to integrate Large Language Models with physical world simulation to create safe, ethical, and scalable autonomous agents.
You will lead a team of elite engineers in architecting the neural infrastructure that powers our next generation of smart systems. This is a high-impact role for a visionary technologist dedicated to building the future of intelligent machines.
Responsibilities
- Architect and deploy scalable, high-performance neural networks for autonomous decision-making.
- Lead the research and integration of cutting-edge LLMs and Reinforcement Learning algorithms.
- Collaborate with cross-functional teams to ensure ethical AI compliance and safety standards.
- Mentor junior developers and conduct technical code reviews to maintain engineering excellence.
- Optimize model inference speeds for edge computing environments.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
- 10+ years of experience in software engineering and deep learning architecture.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Proven experience designing systems for large-scale distributed computing (Kubernetes, AWS, GCP).
- Strong understanding of NLP, Transformers, and multimodal AI architectures.