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 ResponsibilitiesBuild 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 Qualifications5+ years software development (Node.Js, TypeScript, Python)Experience applying AI/ML or Generative AI in productionExperience building APIs and distributed systemsNice to HaveAWS Serverless (Lambda, API Gateway, DynamoDB)Amazon Bedrock, prompt engineering,



RAG patternsAgent-based architectures / orchestration frameworksLangChain, LangGraph experienceSuccess CriteriaAI capabilities embedded into core platformsImproved resiliency and developer productivityAdoption of standardized AI + serverless patternsPosition2Just valuable soft skills (communication, drive, ambition). Able to pass our technical interview.strong new graduates who demonstrate foundational knowledge, curiosity, and the ability to grow into these areas, rather than profiles with only surface-level exposure.#J-18808-Ljbffr

📌 Ai Engineer (Toronto)
🏢 Raas Infotek
📍 Toronto