Generative AI Developer
Tasks
- Analyze structured and unstructured data for GenAI use cases
- Build RAG retrieval augmented generation systems
- Create test and maintain high quality prompts
- Design develop and optimize applications using internal LLMs
- Develop full stack end to end GenAI applications
- Develop web user interfaces for GenAI workflows
- Document design decisions prompts and system behavior
- Establish prompt evaluation and versioning
- Implement enterprise security compliance and governance controls
- Implement few shot prompting
- Implement prompt chaining
- Integrate GenAI capabilities into existing applications and workflows
- Integrate LLMs with backend services and enterprise systems
- Perform data validation transformation and analysis for AI pipelines
- Translate business requirements into LLM driven workflows
Perks/Benefits
- N/A
Skills/Tech-stack
.NET | API | Angular | Data Analysis | Data Processing | Data Transformation | Data Validation | Few-Shot Prompting | Few-shot | Generative AI | Java | LLMOps | Language Models | Large Language Models | MLOps | Node.js | Prompt Chaining | Prompt engineering | Python | RAG | REST APIs | React | Service Oriented | Service-Oriented Architecture | Vector Search | Vue | Web Security
Education
N/A
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