AI Engineer

Raas Infotek

Toronto

On-site

CAD 90,000 - 120,000

Full time

14 days+

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Job summary

Raas Infotek in Toronto is looking for a skilled software developer to design and build AI-powered, cloud-native solutions. You will focus on enhancing resiliency and productivity through AWS serverless technologies and generative AI.

Ideal candidates should have at least 5 years of experience in software development, particularly with Node.js, TypeScript, and Python, and a strong capability in AI/ML applications.

Qualifications

  • 5+ years of software development experience with Node.js, TypeScript, and Python.
  • Experience in applying AI/ML or Generative AI in production environments.
  • Proven experience in building APIs and distributed systems.

Responsibilities

  • Build AI-powered applications utilizing LLMs and automation.
  • Develop AI agents and workflows using Bedrock and agent frameworks.
  • Build serverless systems using AWS tools like Lambda and API Gateway.

Skills

Software development
Node.js
TypeScript
Python
AI/ML or Generative AI

Tools

AWS Serverless
Amazon Bedrock

Job description

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.

strong 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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