Job Description
We are seeking a visionary Senior AI Architect to lead our breakthrough research into the technologies of 2026.
At QuantumCore Systems, we are not just predicting the future; we are engineering it. You will be at the helm of our next-generation Large Language Model (LLM) initiatives, pushing the boundaries of what is possible in generative AI and ethical machine learning.
In this pivotal role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our systems are scalable, secure, and ready for the demands of the decade ahead.
Why Join Us?
- Work on cutting-edge AI models that define the next era of technology.
- Competitive compensation package including equity and remote flexibility.
- Access to state-of-the-art hardware and research resources.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable machine learning pipelines and distributed systems capable of handling petabyte-scale data.
- Model Development: Lead the research and development of proprietary Large Language Models (LLMs) and reinforcement learning agents.
- Optimization: Optimize model inference speeds and reduce latency to ensure real-time responsiveness in critical applications.
- Cloud Infrastructure: Deploy and manage models on AWS and Azure, ensuring high availability and fault tolerance.
- Technical Leadership: Mentor junior engineers and conduct code reviews to maintain high engineering standards.
- Collaboration: Partner with product managers and data scientists to translate complex requirements into technical solutions.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in machine learning engineering or applied AI research.
- Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL.
- Cloud Mastery: Deep experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Problem Solving: Demonstrated ability to solve complex engineering problems and innovate under tight deadlines.
- Communication: Excellent written and verbal communication skills, capable of presenting technical concepts to diverse audiences.