We are seeking a mid-to-senior level Forward-Deployed AI Application Engineer to build an AI-native analytics platform. You will architect agentic workflows that enable our commodity trading analysts to build models, tools and dashboards entirely using natural language. Most developer roles ask you to build things. This role asks you to build the system that builds things. Your success will be measured not just by the applications you create, but by how effectively you enable others to create their own.
While you'll draw on strong technical foundations in front-end frameworks and application architecture, the core of your work will be configuring AI agents (particularly Claude Code) to do the building. You'll create the skills, tools, and design standards that ensure every application the AI produces is consistent, high-quality, and deployment-ready — without requiring end users to write code or follow complex templates. You will leverage a deep understanding of AI models and training systems to anticipate points of failure (e.g. hallucinations) and implement effective guardrails based on business usage patterns.
While this role will initially focus on dashboards and other front-end analytics tools for NAPGE, it will quickly expand to more advanced applications and modeling. A key aspect of the role will be to stay abreast of the latest news and research within the rapidly evolving AI landscape and identify opportunities to expand what's possible.