Senior AI Platform Engineer

Campminder is a company dedicated to providing software solutions for summer camps, focusing on AI enablement for both internal and external stakeholders. The Senior AI Platform Engineer will collaborate with executive leadership and various teams to identify AI needs, develop AI solutions, and enhance the efficiency of Campminder's operations and product offerings.

Responsibilities:

• Partner with executives to identify areas at Campminder that would benefit most from AI enablement
• Partner with teams across Campminder to define clear business metrics that you can improve with the help of AI, and then enable teams to build and maintain AI-powered tools that achieve those goals
• Partner with product to design and build AI platform and harness engineering tooling, that can be used by both internal engineers and external customers to expand on the Campminder platform
• Design AI best practices across all of Campminder, and build platform functionality to make it easy and automated to follow those best practices
• Partner with our DevOps team to roll out AI-first development and CI/CD flows, that scale to the needs of high-velocity agentic coding
• Be a mentor and collaborator for people across all of Campminder, teaching people how to build AI-powered tools that make their lives better and help them be more effective

Requirements:

• Hands-on experience building AI-powered tools used by internal teams of varying skill levels and technical backgrounds
• Experience with RAG, prompt engineering, context engineering, and LLM evals
• Experience building production AI observability, including prompt/input/output logging, token spend tracking, and regression evaluations
• Experience extending or building on agentic coding tools (Claude Code, Cursor, MCPs, custom agents, skills/plugins) for use in customer-facing development workflows
• Excellent product judgment about where AI belongs in a product and where deterministic code is the better answer
• Actively tracks the AI tooling landscape and actively experiments to form informed opinions on what works best for different use cases
• Experience teaching non-engineers practical, targeted AI adoption
• Demonstrated ability to partner with executive leadership and individual contributors at any skill level, translating AI concepts appropriately for each audience
• Exceptional communication skills, with an ability to communicate effectively with executives on AI strategy tied to clear business outcomes
• Growth mindset, with a desire to constantly learn and improve themselves