Agentic Workflows Development using LangChain

should Build agentic workflows using LangChain/LangGraph and similar frameworks. • Develop autonomous agents for data validation, reporting, document processing, and domain workflows. • Deploy scalable, resilient agent pipelines with monitoring and evaluation. GenAI Application Engineering • 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. Data & Platform Engineering • Build distributed data pipelines (Python, PySpark). • Develop APIs, SDKs, and integration layers for AI-powered applications. • Optimize systems for performance and scalability across cloud/hybrid environments. MLOps / LLMOps • Contribute to CI/CD workflows for AI models—deployment, testing, monitoring. • Implement governance, guardrails, and reusable GenAI frameworks. Collaboration & Stakeholder Engagement • Work with analytics, product, and engineering teams to define and deliver AI solutions. • Participate in architecture reviews and iterative development cycles. • Support knowledge sharing and internal GenAI capability building.

Project ID: 40517650