Generative AI Developer
Tasks
- Analyze structured and unstructured data for GenAI use cases
- Apply few shot prompting
- Build RAG retrieval augmented generation pipelines
- Build solutions aligned with enterprise security compliance and governance
- Create test and maintain prompts for accurate outputs
- Design develop and optimize internal LLM applications
- Develop full stack end to end GenAI applications
- Develop or integrate web based user interfaces
- Document design decisions prompts and system behavior
- Establish prompt evaluation and versioning
- Implement backend services integrating LLMs with enterprise systems
- Implement private internal LLM access with data privacy controls
- Implement prompt chaining
- Integrate GenAI capabilities into existing applications and workflows
- Translate business requirements into LLM driven workflows
- Validate transform and analyze data for AI pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API Integration | Angular | AspNetCore | Blue Prism | Client-Server | Client-Server Architecture | Csharp | Data Analysis | Data Transformation | Data Validation | Few-Shot Learning | Few-shot | Generative AI | Java | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning Ops | Node.js | Prompt engineering | Python | RAG | REST APIs | React | Retrieval-Augmented Generation | Server Architecture | Service Oriented | Service-Oriented Architecture | Vector Databases | Vector Search | Vue.js | Web Security
Education
N/A
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