Principal AI Full Stack Engineer

This is a unique Greenfield opportunity to help build a brand-new AI engineering organization focused on delivering innovative AI solutions that enhance the advisor and client experience.

The team’s mission is to leverage artificial intelligence, automation, advanced analytics, and large language models (LLMs) to solve real business problems, streamline advisor workflows, reduce administrative overhead, and help advisors spend more time delivering value to clients.

· Experience leveraging Large Language Models (LLMs) to solve business problems

· Strong understanding of prompt engineering, prompt management, and GenAI solution design

· Experience working with GenAI developer tools such as: GitHub Copilot, Gemini, Claude

· Familiarity with AI strategy, implementation, and scaling AI-driven solutions

1. Backend & Full Stack Engineering (25%)

· Strong backend engineering background (role is heavily backend-focused)

· Hands on experience with programming languages such as Java, Node.js, Python

· Familiarity with modern web application architectures

· API design, development, and integration expertise

1. Data Platform Engineering (25%)

· Strong data engineering experience

· Experience with data pipelines, data stores, orchestration frameworks, and distributed systems

· Understanding of machine learning workflows and AI-enabled applications

· Experience deploying and scaling AI/ML solutions in production environments

1. Cloud Architecture, Scale & Security (25%)

· Cloud-native development experience

· Kubernetes and containerized application deployment

· Experience with deployment patterns and scalable system design

· Understanding of secure, enterprise-grade architecture