GenAI Engineer
Tasks
- Build RAG pipelines
- Collaborate with cross-functional teams
- Design knowledge graphs
- Develop Python generative ai applications
- Develop agentic AI and multi-agent systems
- Document requirements and specifications
- Evaluate RAG pipelines and retrieval quality
- Implement generative AI models
- Integrate AI features into applications
- Integrate multiple data sources
- Manage GPU based inference and training
- Optimize model performance and reliability
- Track work in Jira
- Use GitHub for code collaboration
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon Web Services | Apache Spark | Azure | Chunking | Data Structures | Databricks | Deep learning | Embeddings | GPU | GitHub | Indexing | Jira | Jupyter | Knowledge graph | Language Processing | Machine Learning | Model Evaluation | NLTK | Natural Language | Natural Language Processing | NumPy | Object-Oriented | Object-oriented design | Pandas | Prompt engineering | Python | RAG | Reranking | SQL | Scikit-learn | Testing | Text Analytics | Topic Modeling | Vector embeddings | Web Services
Education
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