At a Glance
- Tasks: Design and build AI solutions, focusing on production-ready applications and innovative workflows.
- Company: Join a forward-thinking company revolutionizing media insights and data analytics.
- Benefits: Competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: 3-5 years in AI engineering or related fields, with hands-on experience in LLM applications.
The predicted salary is between 135000 - 165000 $ per year.
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
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 Lang Graph.
Build automation around AI and ML workflows.
Develop and deploy AI solutions in the cloud, primarily using GCP and Vertex AI.
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.
Hands-on experience building LLM applications and AI agents.
Experience designing and implementing Retrieval-Augmented Generation (RAG) systems.
Experience with Lang Graph 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.
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Artificial Intelligence Engineer in Toronto employer: Insight Global
At Insight Global, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As an In-House Commercial Counsel in Mississauga, you will benefit from competitive compensation, comprehensive benefits, and ample opportunities for professional growth while working alongside innovative teams in a fast-paced environment. Join us to make a meaningful impact in the e-commerce and ad tech sectors, where your expertise will be valued and your contributions recognized.
