Full-Stack AI Engineer
Tasks
- Build logging metrics and monitoring instrumentation
- Coordinate secure environment setup for development staging and production
- Develop chatbot application
- Execute release management with verification and rollback
- Harden releases with reliability and fail safe behaviors
- Implement conversation flows and UI UX features
- Integrate enhancements through standardized promotion processes
- Integrate knowledge base and retrieval logic
- Maintain runbooks and configuration documentation
- Manage integration points and authentication authorization
- Operationalize incident response and support procedures
- Support UAT and defect remediation
- Tune response quality and latency
Perks/Benefits
- 401k
- Collaborative work environment
- Health, dental, and vision insurance
- Paid time off
- Professional development opportunities
Skills/Tech-stack
AWS | Authentication | Authorization | Azure | CI/CD | Deployment | DevOps | DevSecOps | Docker | Google Cloud | Incident Response | JavaScript | Kubernetes | Logging | Machine Learning | Monitoring | NLP | OAuth | OpenID Connect | Python | REST APIs | Retrieval-Augmented Generation | Secure Coding | Systems Integration | TypeScript | UAT | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Engineer | Engineer | Full Stack | Full Stack AI Engineer | Software Engineer
Regions
Countries
States
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