AI Engineer
Tasks
- Build generative AI applications
- Build microservices
- Build production AI services
- Contribute to proofs-of-concept
- Create LLM powered features
- Design AI solutions
- Design and version REST APIs
- Develop AI agents
- Develop governance for responsible AI
- Implement audit logging and traceability
- Implement retrieval-augmented generation pipelines
- Implement security controls in code
- Integrate AI with enterprise platforms
- Prototype new AI capabilities
- Support scalability and reliability
Perks/Benefits
- Employee mentoring
- Flexible leave
- Global Wellbeing Days
- Paid time off
- Remote working opportunities
- Training and development
Skills/Tech-stack
AI Foundry | AI Search | API Design | 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 | Event Driven | Event-driven architecture | Experiment tracking | Function Calling | GRPC | Generative AI | Injection Defense | Language Models | Large Language Models | 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 injection | Prompt injection defense | Python | RAG | RBAC | REST | Retrieval-Augmented Generation | Structured outputs | Tool use | Traceability
Education
N/A
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