AI Applications Engineer (data & Integrations)

AI Applications Engineer

At Sunlighten, we're not just about infrared saunas, we're on a mission to improve lives through innovative health and wellness solutions. As a global leader in infrared sauna therapy, we are rapidly expanding and need a talented AI Applications Engineer to own end-to-end delivery of AI agents and the app surfaces that expose them. This person will build agent workflows from scratch, integrate enterprise systems, deploy/monitor in production, and make outcomes visible to business users keeping Sunlighten's AI and BI initiatives moving.

Celebrating 25 years of innovation, Sunlighten has grown from its Kansas City roots to establish a global footprint, including expansion into the UK. With the global wellness market projected to reach $7 trillion in 2026, we are proud to be part of this dynamic and holistic shift. As leaders in light science and longevity, we create innovative solutions that help customers lead vibrant, active lifestyles.

Duties/Responsibilities:

• Design, build, and deploy production-grade AI agents using agentic frameworks such as the OpenAI Agents SDK, LangChain/LangGraph, Microsoft AI Foundry/Copilot ecosystem, and similar tools.
• Integrate AI agents with the following core business systems using APIs and webhooks to ensure seamless workflows:
• CRM/Support: Salesforce (Sales/Service/KB/Chat)
• ERP: NetSuite
• CCaaS: Five9
• Commerce/Marketing: Shopify, Marketing Cloud
• Telemetry: ClickHouse/Postgres
• Develop and maintain knowledge retrieval and RAG workflows, ensuring curated sources, traceable and fresh information, proper citations, and safe fallbacks when needed.
• Own production readiness for AI applications, including CI/CD, version control, environment configuration, feature flags, rollbacks, monitoring, alerts, and runbooks to ensure reliability and maintainability.
• Build lightweight user interfaces using React, React Native, or Power Apps to enable users to launch agents, approve actions, provide feedback, and maintain audit trails.
• Collaborate with Data Scientists to refine prompt strategies, select models and parameters, conduct evaluations, perform red-teaming, and continuously improve AI system performance.
• Ensure all AI solutions meet strong security and governance standards, including managing secrets via Azure Key Vault or 1Password, applying role-based access control and least-privilege principles, minimizing personal data (PII) use, and supporting audited privacy deletions within seven days.
• Other duties as discussed and assigned.