We are an AI startup developing a high-performance SaaS platform and cloud marketplace. We are seeking an experienced software engineer to lead our engineering and software infrastructure efforts. The ideal candidate will have a strong understanding and practical experience in high-performance computing, cloud infrastructure, and the challenges of AI efficiency, accuracy, and interpretability. They should have a proven track record of leading software engineering teams and translating complex research into robust, scalable products. An advanced degree in Computer Science, AI/ML, or a related field, along with at least three years of hands-on experience in AI/ML product development—particularly in deep learning architectures and data-driven learning strategies—is required. Excellent communication skills are also essential to articulate vision, strategy, and technical concepts to investors, partners, and team members.

Additional Key Requirements
• Cloud Architecture Expertise: Proven experience designing and deploying large-scale, distributed cloud systems (AWS, GCP, or Azure) with a focus on cost optimization, scalability, and security. Must be able to build and maintain CI/CD pipelines, containerized environments (Docker/Kubernetes), and infrastructure-as-code (Terraform/CloudFormation).
• Performance & Reliability Engineering: Demonstrated ability to optimize compute workloads for AI training/inference, implement autoscaling strategies, and ensure high availability and fault tolerance in production environments.

Key Responsibilities
• Strategic Engineering Vision: Drive the company’s overall engineering strategy and roadmap from startup stage through rapid growth.
• Product & Technical Leadership: Define and execute the technical strategy for our AI platform and product suite. Oversee the development and launch of our core offerings, ensuring the technical integrity, scalability, timeliness, and security of all products.
• Team Building & Operations: Build, manage, and inspire our initial high-performing engineering team and establish core company operations.
• Market & Partnership Growth: Establish key enterprise partnerships, with major milestones planned for the next 2–4 years to drive adoption of our product. • Maintain a competitive edge and drive new breakthroughs in the AI industry.