AI and R&D Engineer
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Prompt + Response Writing (SFT)Engineered LLM-powered applications that rely on retrieval-augmented generation to produce domain-relevant outputs for business Q&A and summarization workflows. Built and refined prompt workflows and agentic behavior using LLM integrations, then evaluated experiments to validate hypotheses for product development. Implemented memory and tool integration to improve contextual accuracy during generation. • Developed LangChain/LangGraph pipelines for multi-agent task delegation and tool execution. • Integrated external APIs and custom tools for dynamic data retrieval supporting generated responses. • Added logging and evaluation metrics to monitor agent performance and reliability. • Worked on prompt engineering and iteration to improve output accuracy and contextual relevance.