Overview
We're seeking an experienced AI Platform Engineer to join a dynamic enterprise team focused on enhancing AI and GenAI capabilities. In this hands-on role, you will collaborate with a variety of technical teams to build and maintain the infrastructure required to support scalable and reliable AI solutions in production. This contract position is part of a critical initiative to advance the organization's AI infrastructure as part of their ongoing digital transformation efforts.
Responsibilities
- Architect, build and maintain infrastructure for AI and agentic workloads.
- Develop core components for AI platforms including LLM gateways and evaluation frameworks.
- Support AI agents and applications deployment into production environments.
- Enhance the scalability and security of the AI platform.
- Utilize Terraform for cloud infrastructure management and deployment.
- Operate containerized environments with Docker and Kubernetes.
- Improve CI/CD pipelines for AI workloads.
- Implement monitoring tools to evaluate AI applications' performance and cost metrics.
Requirements
- Proven experience in Platform Engineering, DevOps, or related fields.
- Commercial experience with production-grade AI, ML, or LLM systems.
- Strong knowledge of major cloud platforms, preferably GCP, AWS, or Azure.
- Experience with Kubernetes, Docker, and Infrastructure as Code tools like Terraform.
- Familiarity with CI/CD pipeline design and maintenance.
- Understanding of LLMOps and AgentOps methodologies.
- Exposure to modern frameworks for agent orchestration and integration technologies.
- Proficiency in Python or other scripting languages.