Note: The job is a remote job and is open to candidates in USA. SpotOn is a company dedicated to providing independent restaurants with the technology they need to thrive. They are seeking a Staff AI Engineer who will serve as the AI engineering technical authority, driving architecture and implementation for AI-assisted development in a fintech environment.

Responsibilities

• Be the AI engineering technical authority
• Drive the architecture and implementation of three concurrent projects: Automated PR Review, Android and API Test Automation, AI Agent Swarms
• Evangelize by shipping, not by presenting
• Measure everything

Skills

• 5+ years building developer tools, infrastructure, or platform engineering systems - you understand how engineering orgs actually work at scale, not just how AI demos work
• 2+ years working deeply with LLMs and AI agents in production - not side projects, not hackathons. Production systems handling real code, real reviews, or real task automation. You can speak to failure modes, cost optimization, prompt engineering patterns, and model selection trade-offs from experience
• Designed and operated AI-assisted code generation or review systems serving 50+ engineers or 30+ repositories. You know the difference between 'cool demo' and 'trusted by the team.'
• Built multi-agent or agentic workflows - task decomposition, agent specialization, orchestration, error recovery. You've worked with Claude Code, OpenAI Assistants, LangGraph, CrewAI, AutoGen, or custom agent frameworks at a level where you can articulate why you chose one approach over another
• Hands-on with AI coding tools daily - Claude Code, Cursor, GitHub Copilot, Windsurf, Codeium - you don't just use them, you push their limits. You know where they excel and where they hallucinate. You have a personal workflow that makes you measurably faster and you can teach it
• Required domain expertise (at least two of three):
• Fintech / payments / regulated industry - you understand what PCI-DSS, SOX, or HIPAA compliance means for code review and deployment. You know why 'just let the AI merge it' isn't an option for payment logic
• Mobile / Android testing automation - Espresso, UI Automator, or AI-native tools (Drizz, mabl, testRigor). Experience with emulator farms, device provisioning, and CI-integrated test pipelines
• Multi-agent system architecture - you've built systems where multiple AI agents collaborate on decomposed tasks with coordination protocols, fallback strategies, and human-in-the-loop checkpoints

Company Overview

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