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AI Engineer II

Modoras Accounting Syd

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Guidepoint is seeking an AI Engineer II to join our Toronto-based AI team. The Toronto Technology Hub is home to our AI/ML and Data organization, focused on building a modern, responsible AI platform that powers Guidepoint’s research enablement products and enterprise intelligence. In this role, you will build and operate AI systems and agents that support compliance, editorial workflows, and intelligent automation. You will work hands-on with Generative AI agents, production-grade APIs, and scalable data pipelines, contributing to their reliability, quality, and long-term operation in production.

Job Responsibility:

  • Design and implement AI systems and agents that automate compliance and editorial workflows in support of research enablement
  • Design and implement agent workflows using frameworks such as LangGraph and LangChain
  • Build agents that perform intent interpretation, task decomposition, tool use, web search, and human-in-the-loop escalation
  • Build and operate production-grade REST APIs to serve AI and agent capabilities
  • Develop and maintain scalable data pipelines and background workers that support AI workloads and agent execution
  • Design and maintain retrieval-augmented generation (RAG) pipelines using embeddings, Elasticsearch, structured data, and web-based sources
  • Develop and maintain automated evaluation pipelines for agent behavior and outputs using MLflow and related tooling
  • Improve agent reliability, latency, and cost through prompt engineering, prompt management techniques, and workflow optimization
  • Integrate agents with internal services, APIs, data stores, and asynchronous workers using queues such as RabbitMQ or Redis
  • Monitor and operate agent systems using observability platforms such as Datadog, including alerting and incident response
  • Debug and mitigate agent failure modes such as hallucinations, tool misuse, and state or orchestration errors
  • Manage the full lifecycle of agent systems and supporting APIs, from implementation through deployment and long-term operation using CI/CD pipelines and Kubernetes

Requirements:

  • 3–5 years of professional experience designing, building, and operating production-grade backend systems
  • 2+ years of hands-on experience building and operating Generative AI and agent systems in production
  • Strong Python engineering skills, with experience building scalable REST APIs using frameworks such as FastAPI
  • Working knowledge of JavaScript and Node.js
  • Hands-on experience building and maintaining agent-based AI systems in production using frameworks such as LangChain or LangGraph
  • Experience working with large language models from providers such as OpenAI, Anthropic, or Google Gemini, including prompt engineering and tool integration
  • Practical experience building and operating RAG systems using embeddings and retrieval systems such as Elasticsearch
  • Experience evaluating AI or agent systems beyond manual testing, including automated or programmatic evaluation using tools such as MLflow
  • Familiarity with asynchronous processing and workers using technologies such as RabbitMQ or Redis
  • Experience with monitoring, alerting, deployment, and CI/CD pipelines in cloud-native environments using Kubernetes
  • Comfortable owning systems independently, including debugging, on-call support, and iterative improvement in production
What we offer:
  • Paid Time Off
  • Comprehensive benefits plan
  • Company RRSP Match
  • Development opportunities through the LinkedIn Learning platform

Additional Information:

Job Posted:
February 18, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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