AI Engineer

Role - AI Engineer Location – Toronto Need fresher or up-to 1 year of experience 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 architectures. 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) - Design event-driven architectures (SQS, SNS, DynamoDB) - 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 - Strong AWS or cloud-native development experience - 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 - Event-driven systems (Kafka, SQS/SNS) - Resiliency engineering / chaos testing experience Success Criteria - AI capabilities embedded into core platforms - Improved resiliency and developer productivity - Adoption of standardized AI + serverless patterns