AI Engineer
Tasks
- Apply responsible AI practices
- Build APIs and microservices for AI capabilities
- Build production-grade GenAI applications
- Design AI solutions for business automation
- Develop AI agents and multi-agent workflows
- Implement governance and security controls
- Implement scale reliability and versioning
- Integrate AI with enterprise platforms
- Prototype PoCs and pilots
Perks/Benefits
- Flexible Leave Paid Time Off
- Global Wellbeing Days
- Growth opportunities
- Remote working opportunities
Skills/Tech-stack
AI Agents | AI Foundry | AI Search | AI Studio | API Design | Agent systems | Automated Evaluation | Azure AI | Azure AI Foundry | Azure AI Search | Azure AI Studio | Azure Copilot | Azure Copilot Studio | Azure OpenAI | Azure OpenAI Service | Copilot Studio | Event Driven | Event-driven architecture | Experiment tracking | GRPC | Generative AI | Injection Defense | Language Models | Large Language Models | MLOps | Machine Learning | Microservices | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | PII handling | Prompt engineering | Prompt injection | Prompt injection defense | Prompt versioning | Python | RBAC | REST | Retrieval-Augmented Generation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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