Core AI Engineer
Tasks
- Build shared reusable AI services
- Define APIs integration patterns architecture standards
- Design observability and monitoring standards
- Lead predeployment reviews for high risk use cases
- Own technical documentation and governance artifacts
- Provide technical guidance and code review
Perks/Benefits
- N/A
Skills/Tech-stack
AI/ML | AI/ML Platform | AI/ML platform engineering | API Design | API Integration | Agent Orchestration | Agent orchestration frameworks | Architecture Decision | Architecture decision-making | Cloud platform | Code review | Data Governance | Decision Making | Document processing | Engineering Standards | Gemini API | Google Cloud | Google Cloud Platform | Graph Databases | LLM Applications | Language Models | Large Language Models | ML platform engineering | MLOps | Monitoring | Observability | Orchestration frameworks | Platform Engineering | Production Debugging | Python | RAG | Security controls | Software Engineering | System design | Vision Language Models | Vision-language
Education
N/A
Roles
AI Engineer | Core AI Engineer | Engineer | Senior AI Engineer
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