AI Engineer
Tasks
- Add audit logging and traceability for AI systems
- Build APIs and microservices for AI capabilities
- Build production-grade generative AI applications
- Design and implement AI driven business automation solutions
- Develop LLM powered agents and copilots
- Ensure scalable reliable designs with versioning and backward compatibility
- Implement responsible AI governance and security controls
- Integrate AI solutions with enterprise platforms via APIs and events
- Prototype AI capabilities in PoCs and pilots
Perks/Benefits
Skills/Tech-stack
AI Foundry | AI Search | API Design | API Versioning | Agent Orchestration | Agent systems | Audit Logging | Automated Evaluation | 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 | GRPC | Injection Defense | LLM | Least Privilege | 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 outputs | Tool-Calling
Education
N/A
Roles
AI | AI Engineer | Engineer
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