Closed listing
AI Engineer/Developer
- Toronto, ON, Canada
$60,000 to $68,000 CAD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $60,000 to $68,000 CAD / year
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Location : Toronto
Type : Hybrid (3 days office work is must)
AI Developer (Generative AI / Machine Learning)
- Design, develop, and deploy AI/ML and Generative AI solutions to solve business problems.
- Build, train, fine-tune, and optimize machine learning and large language models (LLMs).
- Develop AI-powered applications using Python, LangChain, vector databases, and cloud services.
- Integrate AI solutions with enterprise applications, APIs, and data platforms.
- Create scalable RAG (Retrieval-Augmented Generation) architectures and AI agents.
- Implement data preprocessing, feature engineering, model evaluation, and monitoring.
- Ensure AI solutions comply with security, governance, and Responsible AI standards.
- Collaborate with product owners, architects, and business stakeholders to define AI use cases.
- Perform model performance tuning and troubleshoot production AI workloads.
- Stay current with emerging AI technologies, frameworks, and industry best practices.
AWS Developer (Cloud & Serverless)
- Design, develop, and maintain cloud-native applications on AWS.
- Build serverless solutions using AWS Lambda, API Gateway, Step Functions, and EventBridge.
- Develop and integrate RESTful APIs and microservices architectures.
- Implement Infrastructure as Code (IaC) using CloudFormation, CDK, or Terraform.
- Design scalable, secure, and highly available AWS solutions.
- Optimize application performance, cost, reliability, and operational efficiency.
- Work with AWS services including S3, DynamoDB, RDS, ECS/EKS, SQS, and SNS.
- Implement CI/CD pipelines using GitHub Actions, Jenkins, AWS CodePipeline, or similar tools.
- Monitor and troubleshoot production environments using CloudWatch and AWS observability tools.
- Collaborate with development, architecture, security, and operations teams to deliver cloud solutions.
More about this job
Responsibilities
Design, build, deploy, and maintain AI/ML, generative AI, and cloud-native applications, including LLMs, RAG architectures, AI agents, serverless solutions, and microservices. Integrate and monitor production systems, optimize performance and cost, and ensure solutions meet security, governance, and responsible AI standards while collaborating with business and technical teams.
Requirements
The role calls for skills in Python, machine learning, generative AI, LLMs, prompt engineering, LangChain, vector databases, SQL, APIs, and AWS or Azure AI services. Cloud development skills include AWS Lambda, API Gateway, Infrastructure as Code, Docker, Kubernetes, CI/CD, CloudWatch, and microservices; the posting is aimed at fresh graduates and specifies no degree requirement.
Skills
- Python
- Machine Learning
- Generative AI
- Large Language Models
- Prompt Engineering
- LangChain
- Vector Databases
- AWS
- Azure AI Services
- SQL
- APIs
- AWS Lambda
- API Gateway
- Infrastructure as Code
- Docker
- Kubernetes
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Engineering
Keywords
- Python
- Machine Learning
- Generative AI
- Large Language Models
- Prompt Engineering
- LangChain
- Vector Databases
- AWS
- Azure AI Services
- SQL
- APIs
- Retrieval-Augmented Generation
- AI Agents
- Feature Engineering
- Model Evaluation
- Responsible AI
- AWS Lambda
- API Gateway
- Step Functions
- EventBridge
- CloudFormation
- AWS CDK
- Terraform
- Docker
- Kubernetes
- CI/CD
- CloudWatch
- Microservices
- DynamoDB
- Amazon S3