ML / AI Engineer (Agentic AI Solutions)
Summary
Contract ML/AI engineer role (through S.I. Systems) at Canada's largest retailer, based in Toronto with 1 day/week onsite, running until Dec 2026. The engineer builds agentic AI and machine learning solutions for data insights and digital advertising optimization, using Python, Go, SQL, LangGraph, Langfuse, and LLM/NLP on GCP.
Our client is Canada's largest retailer. They are looking for a ML / AI Engineer to build machine learning and agentic AI solutions that enable teams to derive insights from data and optimize digital advertising campaigns. The ideal candidate is a machine learning generalist who has experience developing, training, and deploying ML models into production environments.
Duration: Until Dec 2026 (extension into 2027)
Responsibilities:
- Design and build machine learning and AI-driven solutions to support analytics and advertising initiatives.
- Develop agentic AI capabilities that allow systems to query and analyze business data autonomously.
- Build, train, and deploy machine learning models in production environments.
- Develop NLP and LLM-based applications for data insights and decision support.
- Work closely with engineering managers and cross-functional teams to define technical deliverables.
- Provide regular progress updates and maintain strong communication with stakeholders.
- Contribute to expanding features and capabilities for an existing alpha-stage AI product.
Must Haves:
- Strong experience building end-to-end Machine Learning solutions, and deploying ML models into production environments
- Experience building AI Agents or Agentic frameworks (LangGraph)
- Experience with Langfuse for LLM observability, tracing, and evaluation
- Experience working with LLMs and NLP applications
- Proficient in Python, GO, and SQL
- Cloud experience: GCP Preferred, AWS/Azure accepted
Preferred:
- Experience with scaled reasoning model development.
Our client is Canada's largest retailer. They are looking for a ML / AI Engineer to build machine learning and agentic AI solutions that enable teams to derive insights from data and optimize digital advertising campaigns. The ideal candidate is a machine learning generalist who has experience developing, training, and deploying ML models into production environments.
Duration: Until Dec 2026 (extension into 2027)
Location: Toronto - 1 day/week onsite
Responsibilities:
- Design and build machine learning and AI-driven solutions to support analytics and advertising initiatives.
- Develop agentic AI capabilities that allow systems to query and analyze business data autonomously.
- Build, train, and deploy machine learning models in production environments.
- Develop NLP and LLM-based applications for data insights and decision support.
- Work closely with engineering managers and cross-functional teams to define technical deliverables.
- Provide regular progress updates and maintain strong communication with stakeholders.
- Contribute to expanding features and capabilities for an existing alpha-stage AI product.
Must Haves:
- Strong experience building end-to-end Machine Learning solutions, and deploying ML models into production environments
- Experience building AI Agents or Agentic frameworks (LangGraph)
- Experience with Langfuse for LLM observability, tracing, and evaluation
- Experience working with LLMs and NLP applications
- Proficient in Python, GO, and SQL
- Cloud experience: GCP Preferred, AWS/Azure accepted
Preferred:
- Experience with scaled reasoning model development.
Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.