Agentic AI & Autonomous Platform Systems Engineer
- Design and develop agentic AI systems that observe platform state reason over signals and take controlled actions
- Build AI-driven agents for:
- GPU resource optimization and scheduling
- Database performance analysis and anomaly detection
- Platform health monitoring and automated remediation
- Integrate LLM-based agents with platform APIs orchestration systems and observability data
- Define safety guardrails approval workflows and rollback mechanisms for agent actions
- Continuously improve agent behavior using feedback loops and real-world signals
This role focuses on agentic AI operating on real infrastructure and data platforms not chatbot or prompt-only applications.
Required Skills & Experience
- 8 years of experience in infrastructure platform or systems engineering
- Experience with Kubernetes and containerized workloads
- Proficiency in automation and scripting (Python Bash Go or similar)
- Experience building automation or autonomous systems that interact with real infrastructure
Preferred Skills
- Experience in Go or Python and building Microservices for Multitenant systems
- Understanding of AI safety guardrails and human-in-the-loop designs
This role combines GPU-as-a-Service (GPUaaS) advanced database performance engineering and agentic AI systems that observe reason and act on real infrastructure. You will help build platforms that are not only scalable and reliable but also self-optimizing and increasingly autonomous.
Required Skills:
Proficiency with Javascript Node Postgres AWS services and various REST APIs High level of learn ability and interest in emerging technologies such as Blockchain Decentralized identity & AI Good communication skills and ability to break complex ideas to end user level Front-end experience and expertise with React and Redux an asset (not mandatory) Work with Developers to develop automated tests which validate development deliveries Evaluate and recommend selection of QA methodologies processes automation and testing tools
Agentic AI & Autonomous Platform Systems EngineerDesign and develop agentic AI systems that observe platform state reason over signals and take controlled actionsBuild AI-driven agents for:GPU resource optimization and schedulingDatabase performance analysis and anomaly detectionPlatform health moni...
Agentic AI & Autonomous Platform Systems Engineer
- Design and develop agentic AI systems that observe platform state reason over signals and take controlled actions
- Build AI-driven agents for:
- GPU resource optimization and scheduling
- Database performance analysis and anomaly detection
- Platform health monitoring and automated remediation
- Integrate LLM-based agents with platform APIs orchestration systems and observability data
- Define safety guardrails approval workflows and rollback mechanisms for agent actions
- Continuously improve agent behavior using feedback loops and real-world signals
This role focuses on agentic AI operating on real infrastructure and data platforms not chatbot or prompt-only applications.
Required Skills & Experience
- 8 years of experience in infrastructure platform or systems engineering
- Experience with Kubernetes and containerized workloads
- Proficiency in automation and scripting (Python Bash Go or similar)
- Experience building automation or autonomous systems that interact with real infrastructure
Preferred Skills
- Experience in Go or Python and building Microservices for Multitenant systems
- Understanding of AI safety guardrails and human-in-the-loop designs
This role combines GPU-as-a-Service (GPUaaS) advanced database performance engineering and agentic AI systems that observe reason and act on real infrastructure. You will help build platforms that are not only scalable and reliable but also self-optimizing and increasingly autonomous.
Required Skills:
Proficiency with Javascript Node Postgres AWS services and various REST APIs High level of learn ability and interest in emerging technologies such as Blockchain Decentralized identity & AI Good communication skills and ability to break complex ideas to end user level Front-end experience and expertise with React and Redux an asset (not mandatory) Work with Developers to develop automated tests which validate development deliveries Evaluate and recommend selection of QA methodologies processes automation and testing tools
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