AI Engineer
Tasks
- Build AI agents
- Build generative AI applications
- Build microservices
- Contribute to responsible AI practices
- Create multi-agent workflows
- Deploy and operate AI workloads on Azure
- Design AI solutions
- Develop LLM-powered features
- Develop REST APIs
- Ensure reliability and scalability
- Implement data governance controls
- Implement security controls
- Integrate AI with enterprise platforms
- Prototype PoCs and pilots
Perks/Benefits
- Employee resource groups
- Flexible leave
- Global Wellbeing Days
- Growth opportunities
- Inclusive work environment
- Paid time off
- Remote work
- Sustainability initiatives
Skills/Tech-stack
AI Foundry | AI Search | API Design | API Versioning | Agent Orchestration | Agent systems | Async Programming | Audit Logging | Automated Evaluation | Azure | 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 | GRPC | Injection Defense | LLM | 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 | RBAC | REST | Structured Output | Tool use | Traceability
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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