Artificial Intelligence Engineer
The role involves building production-ready Python applications, scalable data pipelines, and AI solutions on AWS. Responsibilities include developing and deploying generative AI and agentic AI solutions while collaborating with cross-functional teams.
- On-site
- Toronto, ON
- Posted Jul 25, 2026
- Apply by Aug 24, 2026
- 1 position
Job summary
About the role We are seeking an AI Developer to build production-ready Python applications, data pipelines, and AI solutions on AWS. What you will do • Build scalable Python services, automation, and data pipelines for AI workflows. • Develop and deploy generative AI, agentic AI, and machine-learning solutions. • Use AWS AI and ML services to support model development, training, deployment, storage, and integration. • Work with cross-functional teams to deliver reliable, maintainable solutions. What you bring • Strong Python and SQL development skills. • Hands-on experience with Amazon Bedrock, SageMaker, S3, Lambda, and Glue. • Demonstrated experience with generative AI, AI agents, and machine-learning delivery. • Familiarity with LangChain, LangGraph, Strands, or related orchestration frameworks.
What you’ll do
The role involves building production-ready Python applications, scalable data pipelines, and AI solutions on AWS. Responsibilities include developing and deploying generative AI and agentic AI solutions while collaborating with cross-functional teams.
Requirements
Candidates must have strong Python and SQL skills with hands-on experience in AWS services like Bedrock, SageMaker, and Lambda. Experience with generative AI, machine learning delivery, and orchestration frameworks like LangChain is required.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- SQL
- Amazon Bedrock
- Amazon SageMaker
- Amazon S3
- AWS Lambda
- AWS Glue
- Generative AI
- AI Agents
- Machine Learning
- LangChain
- LangGraph
- Strands
- Data Pipelines
- AWS AI Services
Job areas
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
Additional details
- Minimum experience
- 2+ years
- Apply by
- Aug 24, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
