AI Engineer
Tasks
- Apply responsible AI practices
- Build AI agents and multi-agent systems
- Build REST and gRPC services
- Build production-grade generative AI applications
- Design AI solutions
- Develop LLM-powered features
- Ensure scalability reliability and change management
- Implement governance and security controls
- Integrate AI via APIs and events
- Prototype capabilities in PoCs
Perks/Benefits
- Employee resource groups
- Flexible leave
- Global Wellbeing Days
- Growth opportunities
- Paid time off
- Remote working opportunities
Skills/Tech-stack
AI Foundry | AI Search | API Design | Agent Orchestration | Agent systems | Audit Logging | Automated Evaluation | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | Content Filtering | Context Management | Copilot Studio | Data Classification | Event Driven | Event-driven architecture | Experiment tracking | Function Calling | GRPC | Injection Defense | LLM | Long Context | MLOps | Microsoft Copilot | Microsoft Copilot Studio | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Prompt versioning | Python | RAG | RBAC | REST | Secure Coding | Structured outputs | Tool use
Education
N/A
Roles
AI | AI Engineer | Engineer
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