AI Engineer
Tasks
- Build RAG pipelines
- Build generative AI applications
- Deploy and operate AI workloads on Azure
- Design AI solutions
- Develop AI agents
- Develop microservices for AI
- Ensure scalability reliability and versioning
- Implement governance and security controls
- Implement responsible AI practices
- Integrate LLM solutions via APIs
Perks/Benefits
Skills/Tech-stack
AI Agents | AI Foundry | AI Search | API Design | Agent systems | Audit Logging | Automated Evaluation | Azure | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | Backwards Compatibility | Context Management | Copilot Studio | Event Driven | Event-driven architecture | Experiment tracking | GRPC | Generative AI | Language Models | Large Language Models | Long Context | MLOps | Machine Learning | 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 | RAG | RBAC | REST API | Retrieval-Augmented Generation | Structured outputs | Tool-Calling | Traceability
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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