Principal AI Engineer
Tasks
- Build cloud native services
- Collaborate on data pipelines orchestration and service APIs
- Conduct design reviews and code reviews
- Deploy and manage AI models
- Design scalable fault-tolerant systems
- Develop secure public APIs and SDKs
- Evaluate and test AI outputs
- Implement security controls for sensitive data
- Mentor junior developers
Perks/Benefits
- Accidental insurance
- Adoption leave
- Childcare support
- Education assistance
- Emergency leave
- Gratuity
- Home office setup support
- Leave entitlement
- Maternity leave
- Medical insurance
- Paternity leave
- Wellbeing support
Skills/Tech-stack
A2A | AI Foundry | AI Model Deployment | AI model | AKS | API Authentication | API Management | API authorization | Agent Orchestration | Agent to Agent | Automated testing | Azure | Azure AI | Azure AI Foundry | Azure Functions | Data Privacy | Deep learning | GitHub Copilot | Language Models | Large Language Models | MCP | Machine Learning | Model Context Protocol | Model Deployment | OAuth 2.0 | OpenAPI | Prompt engineering | Python | RAG | RESTful API | Retrieval-Augmented Generation | Semantic Kernel | Tool-Calling
Education
N/A
Roles
AI | AI Principal | AI Principal Engineer | Engineer | Principal Engineer | Software Engineer
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