• Design, implement, and optimize LLM-powered systems (e.g., RAG, chat agents, summarizers, knowledge graph integration). • Build and manage data indexing and retrieval pipelines using LlamaIndex, LangChain, or similar frameworks. • Implement and maintain vector databases (e.g., Pinecone, Neo4j, Weaviate, Chroma, or Azure Cognitive Search). • Integrate open-source and proprietary LLMs (e.g., GPT, Claude, Llama) into the CoreStory Platform. • Develop and refine AI-driven features — including generative insights, automated summarization, and narrative analytics. • Collaborate with DevOps and backend teams to deploy scalable AI services within CoreStory’s cloud infrastructure. • Continuously benchmark model performance, latency, and cost, identifying opportunities for optimization. • Stay current with advancements in AI — from model architectures to emerging frameworks — and propose innovative applications aligned with CoreStory’s mission. • Contribute to internal documentation, experimentation frameworks, and evaluation methodologies.