Related skills
python pyspark langchain transformers langgraph📋 Description
- Agent Development & Architecture
- Build agentic workflows with LangChain/LangGraph
- Develop autonomous agents for data validation, reporting, docs
- Deploy scalable, resilient agent pipelines with monitoring
- GenAI Application Engineering
- Develop GenAI apps using GPT, Gemini, and LLaMA
- Implement RAG, vector search, prompt orchestration, evaluation
- Partner with data scientists to productionize POCs
- Data & Platform Engineering
- Build distributed data pipelines (Python, PySpark)
- Develop APIs, SDKs, and integration layers for AI-powered apps
- Optimize systems for performance and cloud/hybrid environments
- MLOps / LLMOps
- Contribute to CI/CD workflows for AI models—deployment, testing
- Implement governance, guardrails, and reusable GenAI frameworks
- Collaboration & Stakeholder Engagement
- Work with analytics, product, and engineering teams to deliver AI solutions
- Participate in architecture reviews and iterative development cycles
- Support knowledge sharing and internal GenAI capability building
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