AI Engineer
- Toronto, ON, Canada
From $65 CAD / hour · Contract
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Job details
- Pay
- From $65 CAD / hour
- Job type
- Contract
- Experience
- 3–5 years of experience in machine learning, AI engineering, software engineering, or a related field.
- Posting language
- English
- Posted
Original job description
Required Skills & Experience
What You’ll Do
Design and build AI and machine learning solutions with a strong focus on production-ready applications.
Develop LLM-powered applications, RAG systems, and AI agents.
Build agentic AI workflows using LangGraph.
Build automation around AI and ML workflows.
Develop and deploy AI solutions in the cloud, primarily using GCP and Vertex AI.
Use Python for AI/ML application development.
Develop evaluations, testing frameworks, and monitoring to measure the quality and performance of AI solutions.
Leverage Langfuse for observability and evaluation of LLM applications.
Work across traditional machine learning, generative AI, and reinforcement learning use cases.
Support the end-to-end AI lifecycle, including development, deployment, evaluation, testing, and monitoring.
What We’re Looking For
3–5 years of experience in machine learning, AI engineering, software engineering, or a related field.
Strong Python development experience.
Hands-on experience building LLM applications and AI agents.
Experience designing and implementing Retrieval-Augmented Generation (RAG) systems.
Experience with LangGraph or similar agent orchestration frameworks.
Experience building AI/ML solutions on GCP, particularly Vertex AI. AWS experience is also relevant.
Understanding of LLM evaluation, observability, testing, and monitoring, ideally including experience with Langfuse.
Experience deploying AI/ML solutions into production.
Exposure to traditional ML and reinforcement learning is an asset.
Ability to think beyond the model itself and build reliable, scalable AI products.
Job Description
Insight Global is looking for an AI Engineer to help build and scale AI-powered solutions supporting media insights, advertising campaigns, data analytics, and business intelligence.
This individual will be responsible for taking AI solutions from concept through production, including building LLM applications, RAG systems and AI agents, deploying solutions in the cloud, and developing the evaluation and monitoring frameworks needed to ensure those solutions perform effectively.
What You’ll Do
Design and build AI and machine learning solutions with a strong focus on production-ready applications.
Develop LLM-powered applications, RAG systems, and AI agents.
Build agentic AI workflows using LangGraph.
Build automation around AI and ML workflows.
Develop and deploy AI solutions in the cloud, primarily using GCP and Vertex AI.
Use Python for AI/ML application development.
Develop evaluations, testing frameworks, and monitoring to measure the quality and performance of AI solutions.
Leverage Langfuse for observability and evaluation of LLM applications.
Work across traditional machine learning, generative AI, and reinforcement learning use cases.
Support the end-to-end AI lifecycle, including development, deployment, evaluation, testing, and monitoring.
What We’re Looking For
3–5 years of experience in machine learning, AI engineering, software engineering, or a related field.
Strong Python development experience.
Hands-on experience building LLM applications and AI agents.
Experience designing and implementing Retrieval-Augmented Generation (RAG) systems.
Experience with LangGraph or similar agent orchestration frameworks.
Experience building AI/ML solutions on GCP, particularly Vertex AI. AWS experience is also relevant.
Understanding of LLM evaluation, observability, testing, and monitoring, ideally including experience with Langfuse.
Experience deploying AI/ML solutions into production.
Exposure to traditional ML and reinforcement learning is an asset.
Ability to think beyond the model itself and build reliable, scalable AI products.
Job Description
Insight Global is looking for an AI Engineer to help build and scale AI-powered solutions supporting media insights, advertising campaigns, data analytics, and business intelligence.
This individual will be responsible for taking AI solutions from concept through production, including building LLM applications, RAG systems and AI agents, deploying solutions in the cloud, and developing the evaluation and monitoring frameworks needed to ensure those solutions perform effectively.
More about this job
Responsibilities
The AI Engineer at Insight Global will design, build and deploy LLM applications, RAG systems and agentic workflows. They will also build evaluation, testing and monitoring frameworks so the AI solutions perform reliably in production.
Requirements
Insight Global needs candidates with 3 to 5 years of machine learning, AI or software engineering experience, strong Python skills, and hands-on work building LLM applications, agents and RAG systems. Experience with GCP Vertex AI, LangGraph and production AI deployment is required.
Skills
- Python
- LangGraph
- Vertex AI
- Google Cloud Platform
- Langfuse
- Retrieval-Augmented Generation
- LLM application development
- AI agent development
- Agentic AI workflows
- LLM evaluation
- LLM observability
- Testing frameworks
- Monitoring
- Machine learning
- Generative AI
- Reinforcement learning
- AWS
- Model deployment
- Cloud deployment
- Automation
Categories
- Technology
- Software
- Data & Analytics
- Marketing
Keywords
- AI Engineer
- machine learning
- LLM applications
- RAG
- retrieval-augmented generation
- AI agents
- agentic AI
- LangGraph
- Vertex AI
- GCP
- Google Cloud
- Python
- Langfuse
- LLM evaluation
- LLM observability
- reinforcement learning
- generative AI
- MLOps
- AWS
- contract
Seniority
Mid level
Tools
- Python
- LangGraph
- Vertex AI
- Langfuse
- GCP
Languages
- English