Generative AI Engineer

PrecisionERP / PrecisionIT; Toronto; On-site; CAD 150,000 - 190,000; Full time

Job summary

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

Responsibilities include building end-to-end AI solutions, LLM/RAG-based applications, AI agents, and Azure cloud deployments using LangChain, Semantic Kernel, and Azure OpenAI.

Qualifications

• 6+ years of experience in AI, Generative AI, or ML engineering.
• Strong experience with 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 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 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.

Skills

End-to-end AI

Generative AI

Azure Cloud

MLOps

APIs & Microservices

LLMs & RAG

AI Agents

Cloud Deploy

Tools

LangChain

Semantic Kernel

Azure OpenAI

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.

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.