Senior AI Engineer
Tasks
- Apply prompt engineering strategies
- Automate SDLC workflows with agents
- Build and deploy AI solutions with Microsoft Foundry
- Build back-end services
- Build front-end interfaces
- Contribute to AI governance and responsible AI practices
- Design and implement AI features across SDLC
- Develop agentic AI workflows with orchestration frameworks
- Develop and maintain APIs
- Document technical specifications and integration workflows
- Ensure secure handling of AI inputs and outputs
- Implement logging, tracing, and monitoring
- Implement retrieval augmented generation systems
- Implement unit, integration, and performance testing
- Integrate LLM-powered capabilities
- Mentor developers and promote best practices
- Monitor AI tool effectiveness and iterate
- Monitor model and application performance
- Troubleshoot integration and deployment issues
- Use GitHub Copilot to accelerate development
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI gateway | AWS Bedrock | Angular | Anthropic | Azure AI | Azure AI Search | Azure DevOps | Azure OpenAI | C .NET | C# | Cosmos DB | DynamoDB | Embeddings | Entity Framework | FastAPI | Flask | Git | GitHub Copilot | Integration Testing | JavaScript | Langchain | Langgraph | Llamaindex | Logging | Microsoft Entity Framework | Microsoft Foundry | Microsoft SQL | Microsoft SQL Server | Model routing | MongoDB | Monitoring | Multi Provider LLM | Multi provider | N A | OAuth N/A | Observability | OpenAI | Oracle | Performance Testing | PostgreSQL | Prompt engineering | Python | RAG | REST API | React | Redis | Retrieval-Augmented Generation | SQL Server | Semantic Kernel | Tracing | TypeScript | Unit Testing | VS Code | Vector Stores | Visual Studio
Education
N/A
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