AI-Native Developer

Numisma Bank is hiring an AI-Native Developer to design, build, and deploy AI-powered tools, agents, and automations across its banking operations. The role partners with business teams to solve operational and financial problems while ensuring solutions meet security, privacy, audit, and model-risk requirements.

Responsibilities:

• Design, build, and deploy AI-powered applications, agents, and workflow automations using large language models (LLMs) and related tooling
• Use AI coding assistants and agentic development tools in the daily development workflow to deliver faster without compromising quality
• Develop retrieval-augmented generation (RAG) pipelines, tool and function-calling integrations, and connectors (e.g., MCP) to internal systems and data sources
• Write, test, and refine prompts, system instructions, and reusable skills, and build evaluation frameworks that measure accuracy, reliability, and cost
• Build data pipelines, analyses, dashboards, and automated reports that turn operational and financial data into clear, actionable insights
• Apply statistical methods to validate model outputs, monitor performance and drift, and support data-driven decisions
• Support management, regulatory, and client reporting with accurate, reconciled, and auditable data
• Apply AI and analytics to logistics and operational workflows, including shipment planning, routing, inventory and vault positions, carrier coordination, and exception handling
• Automate repetitive operational tasks, such as shipment requests, Federal Reserve cash orders, and reconciliations, to reduce manual effort and error rates
• Partner with the trading desk and Treasury to improve pricing, liquidity, and client execution through better tools and data
• Partner with Operations, Logistics, Trading, Finance, Compliance, and Risk to identify high-value AI use cases and translate them into working solutions
• Ensure all solutions meet security, privacy, audit, and model-risk requirements, and document designs and controls clearly
• Establish reusable patterns, guardrails, and best practices that other teams across the Bank can adopt
• Stay current on the fast-moving AI landscape and share knowledge, tools, and lessons learned across the organization