Applied AI Engineer
CAD 115K-145K (estimate) Mid-level Full Time
Tasks
- Build experimentation frameworks for test and learn
- Collaborate with product managers data scientists and frontend engineers
- Deploy and integrate AI features using foundational models
- Design, build, and maintain backend services and APIs
- Document backend system designs and integration patterns
- Implement scalable reliable backend architecture for AI workflows
- Integrate AI services with microservices
- Stay current with AI ecosystem frameworks and tools
- Translate business problems into AI solutions
Perks/Benefits
- 401k match
- Annual professional development budget
- Charitable donation match
- Commuter benefits
- Flexible time off
- Medical/Dental/Vision insurance
- Paid parental leave
- Remote first workplace flexibility
- Volunteering days
- Wellness reimbursement
Skills/Tech-stack
AI orchestration | API Development | AWS | AWS Bedrock | Anthropic Claude | Automation | Backend Services | Data Pipelines | Distributed Systems | Docker | Generative AI | Go | Hugging Face | Kubernetes | Langchain | Machine Learning | Microservices | Near Real Time Applications | Near-real-time | OpenAI API | Python | Real Time | Real-Time Applications | Real-time Systems | Ruby | Snowflake | Test-Driven | Test-Driven Development | Time Systems | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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