Principal AI Engineer
Tasks
- Build content pipeline integrations
- Build core AI tutoring system
- Collaborate with educators and product teams
- Create custom metrics and learning effectiveness frameworks
- Design agentic workflows
- Design scalable, maintainable software
- Develop evaluation methods and metrics
- Develop prompt architectures
- Ensure quality safety and observability
- Implement monitoring testing and guardrails
- Implement real time adaptive learning behaviors
- Implement user experience components
- Improve model reliability
- Integrate AI capabilities with platform systems
- Iteratively refine model behavior
- Mentor teammates and share knowledge
- Productionize model interactions
- Prototype model interactions
- Run experimentation and evaluation
- Translate pedagogical goals into technical solutions
Perks/Benefits
- Conference and training access
- Flexible working hours
- Global retreats
- IT equipment budget
- Learning budget
- Remote work flexibility
Skills/Tech-stack
Agentic Workflows | CI/CD | Cloud Computing | Experimentation | Guardrails | LLM Evaluation | Language Models | Large Language Models | Model Monitoring | Model Testing | Observability | Prompt engineering | Python
Education
N/A
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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