AI Engineer
Tasks
- Apply responsible AI engineering standards
- Build APIs and microservices for AI capabilities
- Build production-grade generative AI applications
- Design AI solutions to automate business processes
- Develop AI agents and multi-agent systems
- Implement governance and security controls for AI systems
- Implement scalability reliability and change management
- Integrate AI solutions with enterprise platforms via APIs and connectors
- Prototype AI capabilities for pilots and proofs of concept
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 | API Versioning | Agent Orchestration | Agent systems | Audit Logging | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Azure OpenAI Service | Content Filtering | Context Management | Event Driven | Event-driven architecture | Experiment tracking | GRPC | Generative AI | Injection Defense | LLM | Least Privilege | MLOps | Model Evaluation | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Prompt versioning | Python | RBAC | REST API | Structured outputs | Tool-Calling | Traceability
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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