Principal Software Engineer
Tasks
- Architect backend services for multi step AI interactions
- Build and maintain data and inference pipelines
- Build reusable AI platforms APIs and tools
- Design and build scalable AI systems
- Develop production grade data models and standards
- Ensure reliability observability and governance of AI systems
- Evaluate benchmark and tune AI models
- Implement retrieval augmented generation systems
- Integrate large language models with APIs
- Perform root cause analysis for data pipeline issues
Perks/Benefits
Skills/Tech-stack
API | Agent Orchestration | Asynchronous processing | Azure | Backend Services | C# | Caching | Containerization | Data Governance | Data Quality | Data quality monitoring | Distributed Systems | Embeddings | Fine Tuning | GPU infrastructure | Go | Java | LLM integration | Langchain | Language Models | Large Language Models | Model Evaluation | Observability | Prompt engineering | Python | Quality monitoring | RAG | Reliability | Responsible AI | Retrieval-Augmented Generation | Scalability | Semantic Kernel | Semantic Search | Vector Databases
Education
N/A
Roles
Backend | Backend Engineer | Engineer | Principal | Principal Software Engineer | Software Engineer
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