GenAI Engineer
Summary
Build RAG pipelines and agentic/multi-agent AI systems while developing Python applications for generative AI. Work spans embeddings, indexing, chunking, reranking, GPU optimization, and integrating AI features into broader systems.
- Build RAG pipelines
- Collaborate with cross-functional teams
- Create embeddings indexing chunking reranking prompts evaluation
- Design agentic AI and multi agent systems
- Develop Python applications for generative AI
- Document requirements and specifications
- Implement generative AI models
- Integrate AI features into broader systems
- Integrate multiple data sources
- Optimize GPU based model performance
- Test and troubleshoot AI systems