AI Integration Engineer

The Opportunity

We are seeking a highly motivated AI Integration Engineer to join our team and help design, deploy, and maintain the infrastructure that supports artifi cia l intelligence ( AI ) systems, including Large Language Models ( LLMs ) and distributed AI workloads. This role is critical to bridging the gap between advanced AI models, compute infrastructure, and operational workflows. You will be responsible for managing AI readiness by architecting scalable infrastructure solutions, integrating complex systems, and maintaining operational excellence to ensure stable deployments of AI and machine learning applications. The ideal candidate has a strong background in high-performance computing, cloud infrastructure, MLOps or DevOps, and AI ecosystem integration.

This is an exciting opportunity to be at the forefront of AI operational infrastructure and contribute to cutting-edge projects.

What You’ll Work On

• Serve as the technical point of contact for integrating LLMs and other AI workloads across infrastructure systems, operational tools, and application pipelines.
• Architect, deploy, and maintain scalable GPU computing environments and infrastructure required for autonomous agentic workflows, including persistent state management, long-term memory systems such as Vector DBs, and multi-step reasoning t race s.
• Develop, manage, and optimize CI / CD pipelines for AI deployments, ensuring smooth transitions from model development to production environments.
• Oversee network and infrastructure connectivity, ensuring seamless communication between distributed systems, GPUs, virtual machines ( VMs ) , APIs, and Command and Control ( C2 ) tools.
• Design and secure tool-calling environments where agents interact with external APIs, ensuring strict governance and sandboxing for autonomous actions.
• Provide diagnostic and troubleshooting expertise for AI systems, monitoring infrastructure to maintain availability, security, and performance...