AI Engineer
Tasks
- Build RAG pipelines
- Build generative AI applications
- Build multi-agent workflows
- Contribute to POCs
- Deploy AI workloads on Azure
- Design AI solutions
- Develop AI agents
- Develop REST APIs
- Develop microservices
- Ensure reliability and scale
- Implement governance controls
- Implement security controls
- Integrate AI with enterprise platforms
Perks/Benefits
- Flexible leave
- Global Wellbeing Days
- Growth opportunities
- Mentorship
- Paid time off
- Remote work opportunities
Skills/Tech-stack
AI Foundry | AI Search | API Design | Agent systems | Agentic Workflows | 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 | LLM | MLOps | Microsoft Copilot | Microsoft Copilot Studio | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | PII handling | Prompt engineering | Prompt versioning | Python | RAG | RBAC | REST | Structured outputs | Tool-Calling | Traceability
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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