More jobs:
Generative AI Engineer
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-08-21
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
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
- 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
- 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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