GenAI Software Engineer

North Mark Compute & Cloud (NMC²) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients' research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.

The AI-Focused Software Engineer will design and build applications, services, and tooling that support both infrastructure operations and AI-driven initiatives. This role requires extensive software engineering expertise. The engineer will help scale and integrate AI capabilities into broader systems while ensuring platforms remain secure, reliable, and developer-friendly, thus a strong preference will be given to candidates with experience working on projects that have incorporated AI or ML based workflows.

• Develop and maintain software solutions that integrate AI/ML components into core business systems.
• Build applications and tooling that improve infrastructure automation and developer productivity.
• Deliver high-quality, maintainable code in an agile, self-organizing environment.
• Provide ongoing support including proactive bug fixes and handling feature requests.
• Stay aware of developments in AI tooling and apply relevant advancements to improve platforms.

• Strong background in software engineering with experience building scalable applications.
• Proficiency in Python; exposure to .NET and Go is a significant plus.
• Knowledge of test-driven development (TDD) and clean coding practices.
• Hands-on work with containerization and orchestration (Docker, Kubernetes).
• Experience with agile methodologies, retrospectives, and continuous improvement.
• Experience with cloud AWS and/or Azure

• Familiarity with AI/ML concepts and practical exposure to projects leveraging them.
• Experience integrating AI services or APIs into larger software systems.
• Familiarity with querying and managing telemetry/logging systems
• Experience with microservices architectures and cloud-based deployments.