• Design, build, and deploy AI-powered applications and services that integrate with existing systems and workflows. • Prototype and iterate on AI solutions rapidly, translating business needs into functional AI features within short development cycles. • Develop and implement agentic AI workflows (e.g., planning, reflection, tool use) using modern orchestration frameworks such as LangGraph. • Apply prompt engineering and retrieval-augmented generation (RAG) techniques to improve model accuracy, reliability, and performance. • Prepare and manage multimodal datasets by cleaning, transforming, and structuring complex data sources including documents, PDFs, and images. • Stay current with the evolving AI ecosystem—evaluating new models, benchmarking performance, and selecting the right tools for each use case.