Principal AI Engineer, Distributed Systems & Intelligent Platforms
New
CanadaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 6+ years
- Required Skills
- AWSDockerNode.jsPythonNosqlRESTful APIsLLMDistributed Systems
Requirements
- 6+ years of professional software engineering experience building production-grade systems
- Strong expertise in Python and Node.js development
- Hands-on experience with AWS services such as Lambda, DynamoDB, S3, SQS, EventBridge, and Step Functions
- Strong understanding of event-driven architecture and distributed system design principles
- Advanced NoSQL data modeling experience, including composite keys and scalable single-table designs
- Practical experience with LLM-based systems, including RAG, embeddings, prompt engineering, and tool/function calling
- Experience designing and integrating RESTful APIs and backend services at scale
- Strong unit testing practices and commitment to maintainable, high-quality codebases
- Experience with containerization (Docker) and cloud deployment workflows
Responsibilities
- Design, build, and maintain backend services using Python and Node.js within cloud-native architectures
- Develop and evolve APIs and integration layers connecting frontend applications with distributed backend systems
- Architect and implement event-driven systems, including workflows, state machines, and asynchronous processing pipelines
- Contribute to advanced NoSQL data modeling, including scalable schema design, transactional patterns, and performance optimization
- Build and support AI-driven systems including LLM workflows, RAG pipelines, embeddings, and multi-agent orchestration
- Own production systems, including monitoring, debugging, observability, and continuous reliability improvements
- Collaborate with cross-functional engineering teams to deliver end-to-end features and improve system architecture
- Participate in code reviews, technical design discussions, and contribute to engineering best practices
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