AI-Enabled Backend Engineer AWS / Python / / Java
Location: Toronto ON
Role Descriptions / Key Responsibilities
AI Adoption & Developer Enablement
- Champion the use of GitHub Copilot and other AI developer tools.
- Train and mentor developers on effective AI-assisted coding practices: prompting test generation and documentation acceleration.
- Establish best practices coding standards and guidelines for AI-driven software development.
- Identify opportunities to reduce development time and improve code quality using AI tools.
Backend Development (Hands-On)
- Build and maintain backend services using Java or Python.
- Architect scalable systems using serverless containerized or microservices patterns on AWS.
- Integrate AI logic into backend workflows APIs and event-driven systems.
- Implement secure efficient and well-structured code ready for production environments.
Technical Leadership
- Lead design reviews provide architectural guidance and mentor junior engineers.
- Work closely with product owners cloud engineers and DevOps teams on AI-enabled delivery.
- Define roadmaps for AI adoption and help scale AI maturity across the organization.
Cloud & Data Integration
- Build and optimize AI workloads on AWS using Lambda ECS/EKS API Gateway S3 DynamoDB and Step Functions.
- Collaborate with data engineering teams to prepare datasets for AI and feature engineering.
- Ensure compliance with security governance and cloud best practices.
Required Qualifications
- 9-11 years of backend engineering experience (Java Python) with 1-2 years of AI experience.
- Hands-on experience with GitHub Copilot or equivalent AI coding tools.
- Strong experience integrating AI/ML solutions using cloud-native services (preferably AWS).
- Strong understanding of API design microservices architecture and distributed backend systems.
- Solid experience with AWS compute storage networking and IAM.
- Familiarity with DevOps CI/CD and Git-based version control.
- Excellent communication and ability to guide teams on modern AI practices.
Skills
- Digital: Python
- Digital:
- Digital: Artificial Intelligence (AI)
AI-Enabled Backend Engineer AWS / Python / / JavaLocation: Toronto ONRole Descriptions / Key ResponsibilitiesAI Adoption & Developer EnablementChampion the use of GitHub Copilot and other AI developer tools.Train and mentor developers on effective AI-assisted coding practices: prompting test gener...
AI-Enabled Backend Engineer AWS / Python / / Java
Location: Toronto ON
Role Descriptions / Key Responsibilities
AI Adoption & Developer Enablement
- Champion the use of GitHub Copilot and other AI developer tools.
- Train and mentor developers on effective AI-assisted coding practices: prompting test generation and documentation acceleration.
- Establish best practices coding standards and guidelines for AI-driven software development.
- Identify opportunities to reduce development time and improve code quality using AI tools.
Backend Development (Hands-On)
- Build and maintain backend services using Java or Python.
- Architect scalable systems using serverless containerized or microservices patterns on AWS.
- Integrate AI logic into backend workflows APIs and event-driven systems.
- Implement secure efficient and well-structured code ready for production environments.
Technical Leadership
- Lead design reviews provide architectural guidance and mentor junior engineers.
- Work closely with product owners cloud engineers and DevOps teams on AI-enabled delivery.
- Define roadmaps for AI adoption and help scale AI maturity across the organization.
Cloud & Data Integration
- Build and optimize AI workloads on AWS using Lambda ECS/EKS API Gateway S3 DynamoDB and Step Functions.
- Collaborate with data engineering teams to prepare datasets for AI and feature engineering.
- Ensure compliance with security governance and cloud best practices.
Required Qualifications
- 9-11 years of backend engineering experience (Java Python) with 1-2 years of AI experience.
- Hands-on experience with GitHub Copilot or equivalent AI coding tools.
- Strong experience integrating AI/ML solutions using cloud-native services (preferably AWS).
- Strong understanding of API design microservices architecture and distributed backend systems.
- Solid experience with AWS compute storage networking and IAM.
- Familiarity with DevOps CI/CD and Git-based version control.
- Excellent communication and ability to guide teams on modern AI practices.
Skills
- Digital: Python
- Digital:
- Digital: Artificial Intelligence (AI)
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