AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build custom AI solutions on Azure AI Studio and Azure Functions
- Build reusable AI platform components
- Connect enterprise data sources to AI systems
- Create low code AI solutions with Copilot Studio and Power Platform
- Design build and deploy production AI solutions
- Design build and run data pipelines for AI
- Develop AI agents and automation workflows
- Develop prompt engineering frameworks
- Evaluate AI models for orchestration decisions
- Implement SDLC with version control CI CD and releases
- Implement monitoring logging and QA for AI in production
- Implement secure repeatable data access patterns
- Integrate large language models with enterprise systems
- Own AI software development lifecycle requirements design development testing deployment monitoring
- Support security identity and access control governance reviews
Perks/Benefits
- 401k savings plan
- Dependent Ski Passes
- Employee Ski Pass
- Flexible Spending Account Programs
- Health, dental, vision insurance
- Life Insurance Programs
- Other company perks
- Paid leave programs
- Paid time off
Skills/Tech-stack
AI Studio | Anthropic Claude | Authentication | Authorization | Azure AI | Azure AI Studio | Azure DevOps | Azure Functions | Azure OpenAI | CI/CD | Copilot Studio | Data Pipelines | Data Warehouses | Development Lifecycle | ETL | Embeddings | Function Calling | Git | Langchain | Language Models | Large Language Models | Logging | Microsoft Copilot | Microsoft Copilot Studio | Model Drift | Monitoring | OpenAI | Power Platform | Prompt engineering | Python | RAG | 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
Roles
AI | AI Engineer | Engineer
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