Principal AI Engineer
Tasks
- Build and ship LLM-powered product capabilities
- Build evaluation harnesses for LLM apps
- Collaborate with platform teams for deployment on AWS
- Conduct technology study and research
- Design and implement Agentic workflows
- Develop high quality solutions and standards
- Develop prompting and context engineering practices
- Experiment with new technologies
- Instrument systems for observability
- Lead development process improvements
- Mentor junior developers
- Participate in agile activities
- Participate in build vs. buy analysis
- Participate in hiring and onboarding
- Represent team in presentations
- Review teammate work and ensure quality
- Translate ambiguous problems into measurable outcomes
- Troubleshoot and resolve escalated issues
- Write architecture and design documentation
Perks/Benefits
- Calm app subscription
- Dental insurance
- Employee assistance program
- Fitness reimbursement
- Flexible PTO
- Global days off
- Medical insurance
- Parental leave
- Pawternity Leave
- Vision insurance
Skills/Tech-stack
AI Product Engineering | AWS | Agile methodology | Cloud infrastructure | Containerization | Data Science | Debugging | FastAPI | LLMs | Machine Learning | Monitoring | Performance optimization | Product Engineering | Python | REST API | SLMs | Testing
Education
Roles
Regions
Countries
States
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