Closed listing
Generative AI Engineer
- Toronto, ON, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- 6+ years of experience in AI, Generative AI, or Machine Learning engineering.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Senior Generative AI Engineer / AI Engineer
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.
- Strong Python programming skills.
- 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.
More about this job
Responsibilities
Design, develop, and deploy production-grade Generative AI solutions and intelligent agents using RAG architectures. Build scalable APIs and microservices while implementing MLOps practices on Azure cloud platforms.
Requirements
Requires over 6 years of experience in AI/ML engineering with strong proficiency in Python and Azure cloud environments. Must have hands-on experience building end-to-end GenAI applications using frameworks like LangChain or Semantic Kernel.
Skills
- Generative AI
- LLMs
- RAG
- AI Agents
- Azure OpenAI
- LangChain
- Semantic Kernel
- Python
- Azure Kubernetes Service
- MLOps
- Snowflake
- Microservices
- Vector Search
- Embeddings
- API Development
- Azure Cloud
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
- Consulting
Keywords
- Generative AI
- LLM
- RAG
- AI Agents
- LangChain
- Semantic Kernel
- Azure OpenAI
- Azure Kubernetes Service
- MLOps
- Snowflake
- Python
- Microservices
- Vector Search
- Embeddings
- Azure AI Search
- Azure AI Foundry
- Azure Machine Learning
- Microsoft Fabric
- LLMOps
- Responsible AI
- Enterprise AI Governance
- Cloud Computing
- API
- Machine Learning