Generative AI Engineer at PrecisionERP / PrecisionIT — NeverHard
Generative AI Engineer at PrecisionERP / PrecisionIT in Toronto, Ontario. Apply on NeverHard.
Company
PrecisionERP / PrecisionIT
Location
Toronto, Ontario
Type
contract
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
.
Responsibilities
Design, 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 LangChain, 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 Qualifications
6+ years of experience in AI, Generative AI, or Machine Learning engineering.
Strong experience working in Azure cloud environments.
Hands-on experience building end-to-end AI solutions in production.
Experience building Generative AI applications using LLMs, RAG, and AI agents.
Experience with Azure OpenAI, LangChain, Semantic Kernel, or similar AI frameworks.
Experience with Snowflake or other enterprise data platforms.
Experience building APIs and working with microservices architecture.
Experience with Azure Kubernetes Service or similar container platforms.
Experience with MLOps, model deployment, monitoring, and optimization.
Nice to Have
Experience with Azure AI Search, Azure AI Foundry, Azure Machine Learning, or Microsoft Fabric.
Experience with LLMOps, Responsible AI, guardrails, observability, and enterprise AI governance.
Experience working in large enterprise or regulated environments.
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