AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build custom AI applications on Azure AI Studio and Azure Functions
- Collaborate on technical scoping and solution design for AI projects
- Connect enterprise data sources to AI models
- Create AI agent and automation workflows
- Design and build data pipelines for AI workloads
- Design build and deploy production AI solutions
- Develop prompt engineering frameworks
- Develop solutions with Microsoft Copilot Studio and Power Platform
- Evaluate AI models for capability cost latency and data handling
- Implement AI software development lifecycle with CI CD
- Implement secure data access patterns and data governance
- Integrate large language model APIs with enterprise systems
- Set up monitoring logging and quality assurance for AI systems
- Support security and governance reviews for AI platforms
Perks/Benefits
- 401k savings plan
- Dependent Ski Pass
- Employee Ski Pass
- Flexible spending account
- Health, dental, and vision insurance
- Life insurance
- Paid leave
- Paid time off
Skills/Tech-stack
AI Agents | Access Control | Anthropic Claude | Authentication | Automation workflows | Azure AI | Azure DevOps | Azure Functions | Azure OpenAI | CI/CD | Copilot Studio | Data Pipelines | Data Warehousing | Development Lifecycle | ETL | Embeddings | Git | Langchain | Language Models | Large Language Models | Logging | Model Orchestration | Monitoring | OpenAI | Power Platform | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | SQL | Semantic Kernel | Semantic Search | Software Development Lifecycle | Software development | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
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