AI Developer/Prompt Engineer
Tasks
- Architect AI and Generative AI solutions
- Build predictive models and intelligent agents
- Design AI microservices and event driven integrations
- Develop and deploy production AI applications
- Ensure AI solutions meet security privacy and responsible AI standards
- Establish model lifecycle monitoring security and cost optimization
- Implement NLP and LLM based applications
- Integrate AI services with AWS Bedrock and AWS SageMaker
- Provide technical leadership, code reviews, and mentoring
Perks/Benefits
- Flexible working hours
- Health insurance
- Paid vacation
- Personal days
- Professional development allowance
- RRSP employer contribution
- Referral bonuses
- Remote work
- Statutory Holidays
- Training budget
- Transportation reimbursement
Skills/Tech-stack
AI Governance | API Design | AWS Bedrock | AWS SageMaker | Cloud Native | Cloud Native Architecture | Event Driven | Event-driven architecture | Generative AI | GitHub Copilot | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | NLP | PyTorch | Python | RAG | Scikit-learn | TensorFlow | Vector Databases
Education
Roles
AI | AI Developer | Developer | Engineer | Prompt Engineer
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