Fullstack Node & Ruby AI Developer

U.S. Remote | Leading AI Customer Experience Platform My client is a top provider of AI-powered customer service solutions for the global gaming & sports betting industry, supporting major operators with automation, real-time intelligence, and seamless player support. They’re expanding their U.S. engineering team to strengthen client integrations and elevate AI performance across the region. Why Join? Shape the future of AI-driven customer support for gaming & sports operators Work closely with elite engineers, data scientists, and product leaders Blend full-stack development with AI evaluation, model testing, and client delivery Competitive pay + performance incentives + possible equity 100% remote (U.S.) The Role: A hybrid full-stack + applied AI engineering role focused on integrations, automation, and continuous model improvement. You will: Integrate the AI platform with client systems (PAMs, CRMs, ticketing, data APIs) Build & maintain custom connectors, SDKs, and automation scripts Design and run AI evaluation workflows (accuracy, tone, compliance, latency) Support model selection, prompt design, and new environment deployments Monitor AI quality via dashboards & internal tooling Collaborate directly with Product, AI Engineering, and Client Solutions Who You Are: A technically versatile engineer who enjoys working across code, data, and AI behavior, and thrives in fast-paced, high-impact environments. Requirements: 4+ years in full-stack engineering or ML Strong with Node.js; experience with Ruby on Rails is a major advantage Solid knowledge of APIs, integrations, data flows, and debugging Familiarity with LLMs (OpenAI, Anthropic) or conversational AI Experience with evaluation frameworks (precision/recall, prompt testing, or human QA) Excellent communicator across distributed teams Bonus Experience in gaming, sports betting, or high-volume transactional products Knowledge of observability tools (Datadog, Grafana) or experiment tracking Interest in AI safety, ethics, and real-world model performance Job Type: Full-time Pay: $120,000.00 - $140,000.00 per year Work Location: Remote