AI Engineer
Tasks
- Build REST and gRPC APIs for AI capabilities
- Build production-grade generative AI applications
- Contribute to PoCs and pilots
- Deploy and operate AI workloads on Microsoft Azure
- Design AI-driven solutions
- Develop AI agents and multi-agent systems
- Implement AI governance and security controls in code
- Implement responsible AI practices
- Integrate AI solutions with enterprise platforms
Perks/Benefits
- Autonomy and Career Impact
- Employee resource groups
- Flexible Leave Paid Time Off
- Global Wellbeing Days
- Growth opportunities
- Mentors and Role Models
- Remote working opportunities
- Safe and inclusive working environment
Skills/Tech-stack
AI Foundry | AI Search | API Design | API Versioning | Agent Orchestration | Agent systems | Audit Logging | Automated Evaluation | Azure | 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 versioning | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Prompt versioning | Python | RBAC | REST | Security Compliance | Structured outputs | Tool-Calling | Traceability
Education
N/A
Roles
AI | AI Engineer | Engineer
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