Related skills
python pyspark llms langchain transformers📋 Description
- Build agentic workflows using LangChain/LangGraph
- Develop autonomous agents for data validation, reporting, document processing
- Deploy scalable agent pipelines with monitoring
- Develop GenAI apps using models like GPT, Gemini, and LLaMA
- Implement RAG, vector search, prompt orchestration, and model evaluation
- Build distributed data pipelines (Python, PySpark)
🎯 Requirements
- 8-12 years AI/ML, data science, or software; 2+ years GenAI
- Python and PySpark; API development
- LangChain/LangGraph, Transformers, OpenAI/Vertex/Bedrock SDKs
- AI agents, retrieval pipelines, autonomous orchestration
- GenAI concepts: prompting, embeddings, RAG, evaluation
- Cloud platforms (Azure/AWS/GCP), Docker, CI/CD for ML/AI
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