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

solid new 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