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 #J-18808-Ljbffr

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