AI agent Infrastructure Engineers
2 weeks ago
AI Agent Infrastructure Engineer Mercor is hiring AI Agent Infrastructure Engineers on behalf of a leading AI Lab developing scalable systems to power the next generation of intelligent, autonomous agents. This is a unique opportunity to work with world‑class AI researchers and engineers, building the infrastructure that enables advanced reasoning, multi‑agent coordination, and real‑world deployment of AI systems. Responsibilities Design, build, and optimize infrastructure for training, deploying, and scaling AI agents across distributed systems. Develop robust backend services, APIs, and orchestration frameworks that support multi‑agent workflows and high‑performance compute environments. Collaborate closely with research and product teams to integrate model‑serving pipelines, memory systems, and reasoning components. Implement monitoring, observability, and failover mechanisms to ensure high system reliability and fault tolerance. Evaluate and refine infrastructure performance, identifying bottlenecks and improving efficiency across data, compute, and model layers. Participate in synchronous collaboration sessions (4‑hour windows, 2–3 times per week) to review architecture decisions, troubleshoot distributed systems, and iterate on design improvements. Requirements Strong background in Computer Science, Software Engineering, or Systems Design, with focus on large‑scale distributed infrastructure. Experience with cloud computing (AWS, GCP, or Azure) and containerization/orchestration tools such as Docker and Kubernetes. Proficiency in backend programming languages such as Go, Rust, Python, or C++. Familiarity with LLM inference pipelines, multi‑agent architectures, or reinforcement learning environments is a strong plus. Knowledge of network optimization, data streaming, and caching architectures preferred. Excellent collaboration and communication skills. Ability to commit 20–30 hours per week, including required synchronous collaboration sessions. Why Join Work directly with a world‑class AI research lab building the infrastructure behind tomorrow’s intelligent agent ecosystems. Influence the foundations of AI scalability, reliability, and deployment, enabling complex agents to operate in real‑world environments. Enjoy schedule flexibility — select your own 4‑hour collaboration windows and manage your 20–30 hour work week. Be engaged as an hourly contractor through Mercor, giving you autonomy while contributing to mission‑critical AI infrastructure projects. Collaborate with top systems engineers, researchers, and AI developers working at the intersection of distributed systems and advanced intelligence. Join a global network of technical experts shaping how the next generation of AI agents reason, interact, and evolve at scale. Referrals increase your chances of interviewing at Mercor by 2x. Get notified about new Agent jobs in Toronto, Ontario, Canada . #J-18808-Ljbffr
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AI agent Infrastructure Engineers
2 weeks ago
Toronto, Canada Mercor Full timeAI Agent Infrastructure Engineer Mercor is hiring AI Agent Infrastructure Engineers on behalf of a leading AI Lab developing scalable systems to power the next generation of intelligent, autonomous agents. This is a unique opportunity to work with world‑class AI researchers and engineers, building the infrastructure that enables advanced reasoning,...
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Agentic AI Platform Engineer
1 week ago
Toronto, Ontario, Canada KData AI Full time $120,000 - $180,000 per yearJob Title: Agentic AI Platform EngineerClient: Banking ClientLocation:Downtown Toronto (On-site 4 days/week)Position Type:6-Month Contract (Renewable)Domain: Generative AI, Agentic Systems, AI Platform EngineeringRate: up to $90Role SummaryA leading Banking Client is building a next-generationAgentic AI Platformto enable scalable, enterprise-wide deployment...
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AI agent Infrastructure Engineers
1 week ago
Toronto, Ontario, Canada MERCOR Full time $150,000 - $200,000 per yearMercor is hiring AI Agent Infrastructure Engineers on behalf of a leading AI Lab developing scalable systems to power the next generation of intelligent, autonomous agents. This is a unique opportunity to work with world-class AI researchers and engineers, building the infrastructure that enables advanced reasoning, multi-agent coordination, and real-world...
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AI Agent Developer Evangelist
4 weeks ago
Toronto, Canada Naptha AI Full timeJoin to apply for the AI Agent Developer Evangelist role at Naptha AIJoin to apply for the AI Agent Developer Evangelist role at Naptha AIAI Agent Developer Evangelist | naptha.aiAbout This RoleWe are seeking an exceptional AI Agent Developer Evangelist to build and nurture relationships with frontier AI developers and shape the future of AI agent...
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AI Agent Developer Evangelist
3 weeks ago
Toronto, Canada Naptha AI Full timeJoin to apply for the AI Agent Developer Evangelist role at Naptha AI Join to apply for the AI Agent Developer Evangelist role at Naptha AI AI Agent Developer Evangelist | naptha.ai About This Role We are seeking an exceptional AI Agent Developer Evangelist to build and nurture relationships with frontier AI developers and shape the future of AI agent...
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Toronto, Canada Mercor Full timeA leading AI Lab is seeking an AI Agent Infrastructure Engineer in Toronto, Ontario. You will design and optimize infrastructure for deploying scalable AI agents and collaborate with world-class researchers. The role offers flexibility with your 20–30 hour work week and requires strong background in distributed systems and experience with cloud computing....
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Toronto, Montreal, Calgary, Vancouver, Edmonton, Old Toronto, Ottawa, Mississauga, Quebec, Winnipeg, Halifax, Saskatoon, Burnaby, Hamilton, Surrey, Victoria, London, Halton Hills, Regina, Markham, Brampton, Vaughan, Kelowna, Laval, Southwestern Ontario, R, Canada Mercor Full timeA leading AI Lab is seeking an AI Agent Infrastructure Engineer in Toronto, Ontario. You will design and optimize infrastructure for deploying scalable AI agents and collaborate with world-class researchers. The role offers flexibility with your 20–30 hour work week and requires strong background in distributed systems and experience with cloud computing....
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Agentic AI Engineer
4 weeks ago
Toronto, Canada Atos Full timeResponsible for Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems. Architect and implement core systems for agent-based AI workflows. Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems....
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Agentic AI Engineer
4 weeks ago
Toronto, Canada Atos Full timeResponsible for Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems. Architect and implement core systems for agent-based AI workflows. Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems....
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Agentic AI Engineer
3 weeks ago
Toronto, Canada Atos Full timeResponsible for Lead the design and development of an Agentic AI platform. Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems. Architect and implement core systems for agent-based AI workflows. Design and deploy LLM-based pipelines, agent orchestration, and vector-based memory systems....
