AI Engineer
Tasks
- Apply prompt engineering to optimize LLM outputs
- Build and deploy AI solutions with Microsoft Foundry
- Build and query relational and NoSQL databases
- Build back end services with C# and .NET
- Create SDLC automation workflows for code and test generation
- Design and implement AI features across the SDLC
- Design and implement REST APIs
- Develop agentic AI workflows with orchestration frameworks
- Develop front-end interfaces with React or Angular
- Ensure unit integration and performance testing
- Implement RAG systems for domain workflows
- Implement observability for AI services
- Integrate and troubleshoot AI deployments
- Leverage GitHub Copilot to accelerate development
- Secure handling of AI inputs and outputs
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | AI Search | AWS Bedrock | Angular | Anthropic | Azure AI | Azure AI Search | Azure Cosmos | Azure Cosmos DB | Azure DevOps | Azure OpenAI | C# | Cosmos DB | Embeddings | Entity Framework | Git | GitHub Copilot | Integration Testing | JavaScript | Langchain | Langgraph | Logging | MSSQL | Microsoft Foundry | MongoDB | Monitoring | NoSQL | OpenAI | Oracle Database | Performance Testing | Prompt engineering | Python | RAG | REST API | React | Relational databases | Semantic Kernel | Tracing | TypeScript | Unit Testing | VS Code | Vector Stores | Visual Studio
Education
Roles
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