Required Skills, Experience and Qualifications:

University of Toronto and University of Waterloo – most preferred, can consider others as well (secondary option)

Role Summary

Design and build AI-powered, cloud-native solutions to enhance resiliency, automation, and developer

productivity. Focus on AWS serverless and generative AI including Amazon Bedrock and agent-based

Key Responsibilities

- Build AI-powered applications (LLMs, automation, insights)
- Develop AI agents and workflows (Bedrock, Agent frameworks)
- Build serverless systems (Lambda, API Gateway, Step Functions, ECS)
- Integrate AI into enterprise platforms (APIs, resiliency tools)

Required Qualifications

- 5+ years software development (Node.js, TypeScript, Python)




- Experience applying AI/ML or Generative AI in production
- Experience building APIs and distributed systems

Nice to Have

- AWS Serverless (Lambda, API Gateway, DynamoDB)
- Amazon Bedrock, prompt engineering, RAG patterns
- Agent-based architectures / orchestration frameworks
- LangChain, LangGraph experience

Success Criteria

- AI capabilities embedded into core platforms
- Improved resiliency and developer productivity
- Adoption of standardized AI + serverless patterns

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📌 Artificial Intelligence Engineer (Toronto)
🏢 KTek Resourcing
📍 Toronto