Thinkbrg
AI Lab Infrastructure Engineer
Remote - USA
Sponsorship not specifiedDetected 31 days ago
PythonJava.NETDistributed SystemsGitAWSCloud PlatformsTerraformCI/CDAPI DevelopmentMachine LearningLLMsCybersecurityResearch
About the role
- Ensure high availability and fault tolerance for mission-critical AI workloads
Responsibilities
- Design and implement a virtual access layer for the physical Ai Lab infrastructure
- Create customizable, expandable interfaces for different BRG business units
- Optimize infrastructure for maximum LLM token throughput (OpenAI/Anthropic)
- Implement secure authentication and access management systems
- Lead infrastructure projects from conception to production deployment
- Proven ability to manage and lead projects to deliver high-quality, replicable solutions
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Strong experience with Infrastructure as Code (IaC) tools and methodologies
- Experience designing, implementing, and maintaining scalable, secure, and cost-efficient cloud/on-prem solutions
- Proficiency in VCS (Git/GitHub), modern coding languages (Python,.NET, Java, etc.), Software Development Life Cycle, and CI/CD practices
- Experience with API design and implementation for distributed systems
- Knowledge of GPU infrastructure and optimization for AI workloads
Nice to have
- Experience with LLM deployment and optimization (OpenAI, Anthropic, etc.)
- Knowledge of distributed computing and job scheduling systems
- Experience with cost management and optimization strategies in the cloud
- Familiarity with security best practices for AI systems and data handling
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This listing is sourced directly from Thinkbrg's careers page and normalized into a canonical job model.