Site Reliability Engineer - AI Agents

Jobgether • Canada

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

We are seeking a Site Reliability Engineer to design, operate, and scale the infrastructure layer that powers AI agent systems in production. The ideal candidate has experience in cloud-native systems, production infrastructure, and exposure to ML or AI-driven workloads. This is a high-impact opportunity to shape foundational systems powering next-generation AI agent ecosystems.

Key Highlights

Design and operate scalable cloud infrastructure

Ensure reliability, performance, and observability of distributed agentic systems

Collaborate with AI and Data Engineering teams to evolve experimental prototypes into production-grade systems

Key Responsibilities

Design, build, and operate scalable cloud infrastructure supporting AI agent execution, orchestration, and model serving in production

Ensure reliability, performance, and observability of distributed agentic systems across internal and external products

Collaborate with AI and Data Engineering teams to evolve experimental prototypes into production-grade systems

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Technical Skills Required

Cloud infrastructure Kubernetes Containerized systems Docker Terraform Python Bash/Shell AWS

Benefits & Perks

Competitive compensation package

Fully remote-friendly structure

Comprehensive health coverage

Retirement savings plans

Flexible PTO policy

Mental health and wellness support programs

Learning and development budget

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Nice to Have

Experience with AI agent systems, LLM-based applications, or orchestration frameworks

Job Description

This role sits at the intersection of platform engineering, site reliability, and applied artificial intelligence, focused on building the infrastructure that powers production-grade AI agent systems at scale. You will be responsible for ensuring that agentic workflows—both internal and customer-facing—run reliably, securely, and efficiently in production environments. The position blends deep infrastructure ownership with modern AI system challenges, requiring strong operational discipline and comfort working with rapidly evolving technologies. You will collaborate closely with AI, data engineering, and product teams to transform experimental agent capabilities into hardened, scalable systems. Beyond reliability and operations, the role emphasizes building developer platforms, APIs, and tooling that enable seamless consumption of AI infrastructure across engineering teams. This is a high-impact opportunity to shape foundational systems powering next-generation AI agent ecosystems.

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