Senior AI Engineer
Tasks
- Build backend services APIs and microservices for enterprise integrations
- Define AI governance standards for security and compliance
- Design build and maintain production grade multi agent AI systems
- Develop and scale LLM powered infrastructure
- Develop self service automation platforms with APIs and documentation
- Establish observability frameworks for AI systems
- Implement retrieval-augmented generation pipelines
- Improve reliability scalability and efficiency through experimentation
Perks/Benefits
- Annual leave
- Dental coverage
- Health coverage
- High autonomy
- Home office setup support
- Learning budget
- Open source culture
- Remote work within Canada
- Wellness coverage
Skills/Tech-stack
APIs | CI/CD | Cloud platform | Compliance | Containers | Cost Optimization | Distributed Systems | Evaluation | Function Calling | Git | Google Cloud | Google Cloud Platform | JavaScript | LLM | Logging | Microservices | Monitoring | Node.js | Orchestration | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Security | Serverless | State management | Testing | Tool use | Vector Databases
Education
N/A
Roles
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