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Artificial Intelligence Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Akkodis
Full Time position
Listed on 2026-06-22
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 CAD Yearly CAD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Are you passionate about building cutting-edge AI solutions that drive real-world impact? We’re looking for a talented AI Engineer to join our team and help design, develop, and deploy advanced Generative AI applications at scale.

What You’ll Do

As an AI Engineer, you will collaborate with cross‑functional teams to deliver high‑impact AI solutions. Your day-to‑day will include:

  • Building and deploying agent‑based Generative AI applications using RAG (Retrieval Augmented Generation) and multi‑agent workflows
  • Developing scalable AI solutions leveraging AWS Bedrock, Amazon EKS, and AWS Code Pipeline
  • Using frameworks like Lang Chain and Lang Graph to accelerate development and ensure modular design
  • Operationalizing APIs and deploying containerized applications on Kubernetes (EKS)
  • Monitoring and optimizing performance using observability tools and Gen AI evaluation frameworks
  • Enhancing workflows by identifying bottlenecks and driving efficiency improvements
  • Designing and deploying intelligent agent systems capable of inter‑agent communication
What You Bring

We’re looking for someone with a strong mix of technical expertise and problem‑solving ability:

  • Hands‑on experience building and deploying ML and Generative AI solutions
    , especially agent‑based architectures
  • Deep understanding of LLMs, RAG systems, and AI agent frameworks
  • Proven experience with AWS AI/ML ecosystem (Bedrock, EKS, containers, CI/CD pipelines)
  • Strong expertise in Lang Chain, Lang Graph
    , or similar frameworks
  • Experience designing and optimizing RAG‑based applications
  • Advanced Python programming skills for AI development and API design
  • Experience deploying scalable applications using Kubernetes
  • Solid understanding of MLOps practices and enterprise‑scale AI deployments
  • Strong analytical and communication skills
  • Prior experience in consulting or professional services is a plus
  • Bachelor’s degree (or higher) in Computer Science, Engineering, or a related field
Why Join?
  • Work on cutting‑edge Generative AI projects
  • Collaborate with top‑tier talent across AI, engineering, and cloud
  • Gain exposure to enterprise‑scale AI transformations
  • Opportunities to grow into architecture, leadership, or client‑facing roles
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