AI Developer
Oconee, SC (Local Office), United States
USD 110K-165K (estimate) Mid-level Full Time
Tasks
- Apply software engineering best practices for testing telemetry and performance
- Build API services to expose AI capabilities
- Build CI CD pipelines with automated testing and security scanning
- Define success metrics and iterate using feedback and analytics
- Design AI solutions on Azure AI ecosystem
- Design secure data access patterns for enterprise knowledge
- Develop conversational copilots on Copilot Studio
- Follow responsible AI and governance requirements
- Implement AI logging auditing evaluation and content safety
- Implement identity and access management with least privilege
- Implement retrieval augmented generation experiences
- Implement tool function calling and agent workflows
- Provide enablement for Copilot Studio and Azure AI Foundry
- Translate business needs into AI solution designs and user stories
- Use GitHub and Azure DevOps for source control and reviews
- Use Key Vault for secrets management
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | API Management | Access Control | Agentic Workflows | App Service | Application Insights | Auditing | Azure | Azure AI | Azure AI Foundry | Azure App | Azure App Service | Azure Blob | Azure Blob Storage | Azure DevOps | Azure Functions | Azure SQL | Blob Storage | Branching strategy | CI/CD | Code review | Content Safety | Copilot Studio | Deployment | Entra ID | Evaluation | Function Calling | GitHub | Integration Testing | Key Vault | Least Privilege | Log Analytics | Logging | OAuth2 | Observability | Prompt engineering | Prompt orchestration) | Pull Requests | RAG | REST APIs | Retrieval-Augmented Generation | Role-Based Access | Role-Based Access Control | Secrets management | Security Scanning | Tool-Calling | Unit Testing
Education
N/A
Roles
AI | AI Developer | Developer | Engineer | Software Engineer
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