AI Developer/Prompt Engineer
Tasks
- Architect AI solutions
- Build LLM-based applications
- Build microservices
- Deploy production AI solutions
- Design APIs
- Develop AI and Generative AI applications
- Develop intelligent agents
- Develop predictive models
- Ensure AI security and privacy
- Implement NLP applications
- Implement event-driven integrations
- Integrate AI services with AWS
- Manage model lifecycle
- Mentor team members
- Monitor model performance
- Optimize AI cost
- Provide code reviews
Perks/Benefits
- Flexible working hours
- Group insurance
- Paid vacation
- Personal days
- Professional development allowance
- Public transportation reimbursement
- RRSP employer contribution
- Referral bonuses
- Remote work
- Statutory Holidays
- Training support
Skills/Tech-stack
AI Governance | API Design | AWS Bedrock | AWS SageMaker | Claude Code | Cloud Native | Cloud Native Architecture | Event Driven | Event-driven architecture | Generative AI | GitHub Copilot | LLM | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Microservices | Model Monitoring | NLP | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Developer | Developer | Engineer | Prompt Engineer
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