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

Position

2

Just valuable soft skills (communication, drive, ambition). Able to pass our technical interview.

solid current graduates who demonstrate foundational knowledge, curiosity, and the ability to grow into these areas, rather than profiles with only surface-level exposure.
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📌 Ai Engineer Toronto
🏢 Raas Infotek
📍 Toronto