Applied AI Engineer
Tasks
- Apply software and AI engineering best practices
- Build AI-powered solutions
- Conduct continuous improvement
- Design AI agents and workflows
- Develop Azure AI solutions
- Develop data pipelines and APIs
- Develop reusable prompt and agent patterns
- Ensure secure scalable maintainable solutions
- Evaluate frontier AI techniques
- Implement DevOps MLOps and AIOps practices
- Integrate enterprise data sources
- Maintain safe fallback behavior
- Monitor deployed models
- Prototype, test, and deploy AI solutions
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AI Governance | AIOps | API Development | Azure AI | Azure AI Foundry | Azure Data | Azure Data Factory | Azure Machine Learning | Azure OpenAI | Cognitive Services | Containerization | Copilot Studio | Data Factory | Data Lakes | Delta Lake | DevOps | Docker | ELT | ETL | ETL Governance | GDPR | GraphQL | Kubernetes | Lakehouse | MLOps | Machine Learning | Microsoft Fabric | Parquet | Prompt engineering | Python | RAG | REST | Responsible AI | Retrieval-Augmented Generation | SQL | Synapse Analytics
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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