Job Description
We are pioneering the 2026 technology paradigm. We are seeking a visionary Lead AI Infrastructure Engineer to architect the backbone of our next-generation autonomous systems. In this role, you will bridge the gap between theoretical AI models and production-grade scalability.
Join a team dedicated to defining the future of intelligent software. You will work on cutting-edge Large Language Models (LLMs), ensuring they are not only powerful but also ethical, efficient, and ready for the demands of the 2026 market.
Responsibilities
- Architect Scalable AI Pipelines: Design and implement robust infrastructure to handle millions of concurrent requests for our LLM products.
- Model Optimization: Fine-tune and optimize transformer models for latency reduction and memory efficiency.
- Future-Proof Architecture: Build systems that are resilient against the evolving threat landscape and technological shifts of 2026.
- Ethical AI Governance: Implement guidelines to ensure AI outputs are unbiased, safe, and transparent.
- Collaboration: Partner with data scientists and product managers to translate complex requirements into technical solutions.
Qualifications
- Experience: 7+ years of software engineering with 3+ years in AI/ML infrastructure.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and Kubernetes.
- Education: MSc or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Cloud Expertise: Deep understanding of AWS, GCP, or Azure architecture.
- Problem Solving: Proven track record of solving complex system bottlenecks at scale.