AI Engineer
Tasks
- Apply RBAC least privilege access
- Apply responsible AI practices
- Build and integrate AI microservices
- Build generative AI applications
- Create RAG pipelines
- Design AI solutions
- Develop AI agents and multi-agent systems
- Develop LLM-powered features
- Expose AI capabilities via APIs
- Implement governance and security controls
- Implement prompt injection defenses
- Implement versioning and backward compatibility
- Integrate with enterprise platforms
- Manage data classification and PII handling
- Set up audit logging and traceability
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Search | API Design | API Versioning | Agent systems | Audit Logging | Automated Evaluation | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | Context Management | Copilot Studio | Event Driven | Event-driven architecture | Experiment tracking | GRPC | LLM Agents | Language Models | Large Language Models | MLOps | Microsoft 365 | Microsoft 365 Copilot | Microsoft Copilot | Microsoft Copilot Studio | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | PII handling | Prompt engineering | Prompt versioning | Python | RBAC | REST APIs | Structured outputs | Tool use
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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