Develop and deploy LLM / Generative AI applications including RAG, chat/assistants, copilots, content generation, summarization, and workflow automation.
Work with agent frameworks such as LangGraph, Semantic Kernel, LangChain, AutoGen, CrewAI, and OpenAI Assistants, including tool integrations.
Implement AI solutions on cloud GenAI platforms like Azure OpenAI / Azure AI Studio, AWS Bedrock, Google Vertex AI, including vector search.
Design and implement safety, guardrails, and compliance measures: prompt-injection mitigation, PII redaction, and adherence to enterprise policies.
Build copilots or enterprise assistants integrated with business systems (ticketing, CRM/ERP, data lakes, search).
Implement routing, mixture-of-models, and cost-aware policy design for scalable AI solutions.
Monitor and report operational metrics via dashboards/BI tools such as Power BI or Superset.
