AI Senior Software Engineer
Tasks
- Accelerate development with GitHub Copilot
- Apply prompt engineering strategies
- Automate SDLC workflows with agents for code and test generation
- Build RAG systems for lab and clinical workflows
- Build and deploy AI solutions with Microsoft Foundry
- Build back end services with Python or C# and .NET
- Contribute to AI governance and responsible AI practices
- Design AI features across SDLC
- Develop LLM powered assistant and natural language query capabilities
- Develop and integrate REST APIs
- Develop front-end interfaces with React or Angular
- Document technical specifications and architectural decisions
- Ensure unit integration and performance testing
- Implement AI observability with logging tracing monitoring
- Implement agentic AI workflows with orchestration frameworks
- Monitor model performance and plan retraining
- Secure AI input output handling
Perks/Benefits
- N/A
Skills/Tech-stack
AI Search | AI gateway | AI gateway patterns | API Design | AWS Bedrock | Agentic AI | Angular | Anthropic | Azure AI | Azure AI Search | Azure DevOps | Azure OpenAI | C# | Chunking | Cosmos DB | DynamoDB | Embeddings | Entity Framework | FastAPI | Flask | Gateway patterns | Git | GitHub Copilot | Integration Testing | JavaScript | LLM APIs | Langchain | Langgraph | Llamaindex | Logging | Microsoft Foundry | Microsoft SQL | Microsoft SQL Server | Model routing | MongoDB | Monitoring | Multi provider | Multi provider model routing | NET | OpenAI | Oracle Database | Performance Testing | PostgreSQL | Prompt engineering | Python | RAG | REST API | REST API design | React | Redis | Retrieval-Augmented Generation | SQL Server | Semantic Kernel | Tracing | TypeScript | Unit Testing | VS Code | Vector Stores | Visual Studio
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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