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Generative AI Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: PrecisionERP / PrecisionIT
Part Time position
Listed on 2026-08-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Azure, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 110000 - 170000 CAD Yearly CAD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

PrecisionERP/IT is seeking a Senior Generative AI Engineer to design, build, and scale enterprise AI systems, Generative AI applications, and intelligent agents.

This is a 1-year contract position based in downtown Toronto. The role requires onsite presence at least 3 days per week.

Responsibilitie
  • sDesign, develop, and deploy production-grade AI and Generative AI solutions
  • .Build enterprise GenAI applications using LLMs, RAG, embeddings, vector search, and AI agents
  • .Design and implement Retrieval-Augmented Generation architectures for enterprise use cases
  • .Develop AI agents using frameworks such as Lang Chain, Semantic Kernel, and Azure OpenAI
  • .Fine-tune, optimize, and evaluate LLMs for business and enterprise applications
  • .Build scalable APIs, microservices, and enterprise system integrations
  • .Deploy AI/ML solutions on Azure cloud and Azure Kubernetes Service
  • .Implement MLOps practices for model deployment, monitoring, and continuous improvement
  • .Work with Snowflake and enterprise data platforms to support AI workloads
Required Qualificatio
  • ns6+ years of experience in AI, Generative AI, or Machine Learning engineerin
  • g.Strong experience working in Azure cloud environment
  • s.Hands-on experience building end-to-end AI solutions in productio
  • n.Experience building Generative AI applications using LLMs, RAG, and AI agent
  • s.Experience with Azure OpenAI, Lang Chain, Semantic Kernel, or similar AI framework
  • s.Experience with Snowflake or other enterprise data platform
  • s.Experience building APIs and working with microservices architectur
  • e.Experience with Azure Kubernetes Service or similar container platform
  • s.Experience with MLOps, model deployment, monitoring, and optimizatio
Nice to H
  • ave Experience with Azure AI Search, Azure AI Foundry, Azure Machine Learning, or Azure Fa
  • ic.

    Experience with LLMOps, Responsible AI, guardrails, observability, and enterprise AI governan
  • ce.

    Experience working in large enterprise or regulated environmen
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