Principal Software Engineer
Tasks
- Build RAG LLM interfaces for natural language querying
- Build reliable LLM integrated product systems
- Build responsive dynamic user interfaces with React
- Conduct architectural reviews and enforce code quality
- Define data privacy and data governance standards
- Design scalable CDP multi tenant ingest pipelines
- Develop and maintain web applications in NET
- Develop database solutions for data management
- Develop probabilistic matching for identity resolution
- Implement AI ML in data orchestration for automation
- Implement RESTful APIs and integrate third-party services
- Leverage AI tools and automation for engineering efficiency
- Maintain CI CD pipelines and code documentation
- Upskill development teams and define AI SDLC process
- Write unit tests and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
ASP.Net Core | Amazon SageMaker | Anomaly Detection | Azure DevOps | C Sharp | CDP architecture | CI/CD | Churn Prediction | Data Ingestion | Data labeling | Data orchestration | Database Design | Differential Privacy | Docker | Elasticsearch | Embeddings | Entity Framework | Entity Framework Core | Feature Engineering | Framework Core | Identity resolution | Integration Testing | Jenkins | Kubeflow | Kubernetes | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | MLOps | MLflow | Machine Learning | MongoDB | Multi-tenant | Multi-tenant architecture | NET 8 | Natural Language | Natural Language Processing | Next.js | PostgreSQL | Privacy-preserving | Privacy-preserving computation | Probabilistic matching | Prompt engineering | Propensity scoring | RAG | REST API | React | Real Time | Real-time Data | Real-time data ingestion | Redis | Redux | Retrieval-Augmented Generation | SQL Server | Schema mapping | Tenant architecture | TypeScript | Unit Testing | Vector Databases | Vector Infrastructure | Vector Search | Web API
Education
N/A
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