freehire launches on Product Hunt on 26 August.

Follow →

Generative AI Engineer

Summary

The Senior Generative AI Engineer will design and deploy enterprise-grade AI solutions and intelligent agents using LLMs, RAG, and Azure cloud technologies. This role involves building scalable microservices and implementing MLOps practices within a professional enterprise environment.

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

See also

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.

A new version of freehire is available