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Senior Agentic AI Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Talent To Hire Inc.
Full Time position
Listed on 2026-01-26
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer, Data Scientist
Job Description & How to Apply Below

Senior AI Engineer - Agentic Systems / LLMOPS

We’re looking for an AI Engineer with deep technical expertise in agentic AI systems, LLM orchestration, and cloud deployment. The ideal candidate has hands-on experience building, deploying, and optimizing multi-agent architectures, integrating Retrieval-Augmented Generation (RAG), and delivering production-grade AI workflows on AWS or similar cloud environments. You’ll be at the center of innovation — turning complex semiconductor design workflows into scalable, autonomous AI agents capable of long-horizon reasoning and execution.

Technical

Requirements (Must-Have)
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
  • 5–10 years of software development experience in cloud environments; 2+ years hands-on with agentic AI or LLM deployment.
  • Agentic AI Development
  • Experience building and deploying multi-agent AI systems.
  • Knowledge of supervisor/sub-agent orchestration patterns.
  • Hands-on with Lang Chain, Lang Graph, Lang Smith.
  • Proficient in RAG pipelines, memory management, and agent evaluation.
  • Strong Python skills with backend API integration experience.
  • Familiarity with containerized deployment (Docker, Kubernetes) and CI/CD pipelines.
  • Experience with AWS or similar cloud platforms.
  • Performance & Monitoring
  • Design and implement evaluation pipelines (grounding accuracy, reasoning robustness, tool reliability).
  • Knowledge of monitoring and observability tools like Prometheus, Grafana, or Datadog.
  • Optimize AI systems for scalability, low latency, and high throughput.
Responsibilities
  • Build, deploy, and optimize multi-agent AI systems integrating enterprise workflows.
  • Implement RAG pipelines, long-term memory, and multi-step reasoning.
  • Collaborate with AI researchers and engineers to operationalize models in production.
  • Monitor and fine-tune agent performance in cloud environments.
Preferred Experience
  • Contributions to open-source AI projects.
  • Experience with reinforcement learning, planning algorithms, or autonomous reasoning.
  • Knowledge of semiconductor tool integrations.

Apply:  | Include a few lines to be shared with hiring manager ; " what makes you a good fit for this role?"

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Position Requirements
10+ Years work experience
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