Partner with embedded Product Managers to interpret business needs, prototypes, and early-stage AI builds
Take Product Manager-created concepts or prototypes and evolve them into production-ready AI applications
Design, build, and deploy end-to-end AI solutions, from refinement through launch
Develop applications using modern AI tooling
Manage code and collaboration workflows using GitHub
Evaluate and implement the most appropriate LLM models and architectures based on use cases
Collaborate across internal teams (Marketing, Finance, HR) and external business lines (Employee Benefits, Wealth & Retirement)

Experience building and deploying AI-powered applications or prototypes
Strong familiarity with modern LLM ecosystems
Prompt engineering and model behavior
Model selection and tradeoffs (e.g., GPT, Claude, open-source models)
Architectures such as RAG, agents, and workflow orchestration
Experience working across a full-stack AI toolchain
Hands-on experience with Vercel (or similar platforms) for hosting and deployment
Proficiency with GitHub for version control and collaborative development workflows
Ability to take loosely defined or partially built solutions and turn them into scalable applications
Strong problem-solving skills and comfort working with ambiguity
Proven ability to learn new tools and technologies quickly in a rapidly evolving space

AI Builder

Key skills