Job Description
We are looking for a visionary Senior Generative AI Architect to lead our engineering team in building the technological infrastructure for the year 2026 and beyond. As a pioneer in the AI space, you will be responsible for designing and deploying state-of-the-art Large Language Models (LLMs) and multimodal systems that push the boundaries of what is possible today.
In this high-impact role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our solutions are scalable, efficient, and ethically sound. If you are passionate about shaping the future of intelligent systems, this is your opportunity to join a world-class team.
Responsibilities
- Architect and implement cutting-edge Generative AI models using PyTorch and TensorFlow.
- Lead the end-to-end development lifecycle for Large Language Models (LLMs), from research to deployment.
- Optimize model inference pipelines to ensure low-latency performance in real-world applications.
- Collaborate with cross-functional teams (Product, Design, Research) to define product requirements for futuristic AI interfaces.
- Establish best practices for data governance, model monitoring, and AI safety.
- Stay ahead of the curve by integrating emerging technologies (e.g., Quantum Computing interfaces, Neural Rendering) into our stack.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
- Minimum of 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
- Strong proficiency in Python, C++, and CUDA.
- Proven track record of deploying large-scale ML models to production environments.
- Experience with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes).
- Familiarity with reinforcement learning and adversarial training methodologies.