Production experience with agentic AI patterns — multi-step and multi-agent orchestration, tool and MCP server design, retrieval-augmented generation, vector stores and embeddings, prompt and context engineering, structured output, streaming responses, evaluation and regression testing of AI behavior, observability and tracing for AI workloads, and controls for cost, latency, hallucination, and prompt injection. In this role, engineers spend approximately 80–90% of their time coding, working hands-on with code, data, and modern tools (including AI-assisted development, cloud services, and automation frameworks) to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector.