Generative AI Engineer

PrecisionERP / PrecisionIT; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

PrecisionERP/IT is seeking a Senior Generative AI Engineer to design, build, and scale enterprise AI systems, GenAI applications, and intelligent agents. This is a 1-year contract position based in downtown Toronto with onsite presence required at least 3 days per week.

You will design, develop, and deploy production-grade AI solutions, build enterprise GenAI apps using LLMs and RAG, implement Retrieval-Augmented Generation, and develop AI agents with LangChain, Semantic Kernel, and Azure

Qualifications

• 6+ years of experience in AI, Generative AI, or Machine Learning engineering.
• Strong experience working in Azure cloud environment.
• 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 framework.
• Experience with Snowflake or other enterprise data platform.
• Experience building APIs and working with microservices architecture.
• Experience with Azure Kubernetes Service or similar container platform.
• Experience with MLOps, model deployment, monitoring, and optimization.

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 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.

Skills

6+ years experience in AI/ML

Azure cloud experience

Production AI solutions

GenAI with LLMs/RAG/AI agents

MLOps

APIs & microservices

Azure Kubernetes Service

Snowflake

Azure OpenAI

Tools

Azure OpenAI

LangChain

Semantic Kernel

Azure Kubernetes Service

Snowflake

Job description

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 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 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, LangChain, 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

• aveExperience with Azure AI Search, Azure AI Foundry, Azure Machine Learning, or Azure Fabr
• ic.Experience with LLMOps, Responsible AI, guardrails, observability, and enterprise AI governan
• ce.Experience working in large enterprise or regulated environmen