Related skills
python apis pyspark langchain genai📋 Description
- Build agentic workflows using LangChain/Lang Graph and similar frameworks.
- Develop autonomous agents for data validation, reporting, and processing.
- Deploy scalable agent pipelines with monitoring and evaluation.
- Develop GenAI applications using models like GPT, Gemini, and LLaMA.
- Implement RAG, vector search, prompt orchestration, and model evaluation.
- Partner with data scientists to productionize POCs.
🎯 Requirements
- 6-8 years in AI/ML/DS/soft Eng with 2+ years GenAI.
- Python, PySpark, and API development.
- Experience with LangChain, Lang Graph, Transformers, OpenAI/Vertex/Bedrock SDKs.
- Experience developing AI agents, retrieval pipelines, or autonomous orchestration.
- GenAI concepts: prompting, embeddings, RAG, evaluation metrics, context engineering.
- Cloud platforms (Azure/AWS/GCP), Docker, and CI/CD pipelines for ML/AI.
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