Note: The job is a remote job and is open to candidates in USA. SpotOn is a company dedicated to empowering independent restaurants with innovative technology solutions. They are seeking a Staff AI Engineer to lead the architecture and implementation of AI-assisted engineering practices to enhance software development processes within a fintech environment.
Responsibilities
- Be the AI engineering technical authority
- Drive The Architecture And Implementation Of Three Concurrent Projects
- Automated PR Review - A risk-tiered AI review pipeline where AI handles first-pass review on every PR, with an escalation framework you design that determines when human review is mandatory (payment logic, PCI-scoped code, compliance paths) versus when AI approval is sufficient. You define the criteria. You tune the thresholds. You prove it works
- Android and API Test Automation - A fully automated test harness for our Android-native POS and KDS products: virtual device provisioning, test execution, teardown, AI-assisted failure analysis - replacing multi-day manual QA cycles with sub-30-minute automated runs
- AI Agent Swarms - A multi-agent pipeline that takes a PRD and produces a tested, reviewed pull request for tier 1-3 engineering work (nits, bugs, small features). You design the agent orchestration - planner, coder, tester, reviewer - and the blast-radius controls that keep it safe in fintech
- Evangelize by shipping, not by presenting. Your most persuasive argument is a working system, not a slide deck. You demo to engineering leads every two weeks with real metrics. You turn skeptics into adopters by showing them their own time savings
- Measure everything. You define the metrics framework: developer hours recovered, cycle time compression, quality ratios, cost per deployment. You report to the CTO monthly with quantified value delivered. If something isn't working, the data tells you before anyone else
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
- Required Domain Expertise (at Least Two Of Three): 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
- Required Domain Expertise (at Least Two Of Three): 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
Benefits
- Medical, Dental and Vision Insurance
- 401k with company match
- RSUs
- Paid vacation, 10 company holidays, sick time, and volunteer time off
- Employee Resource Groups to build community and inclusion at work
- Monthly cell phone and internet stipend
- Tuition reimbursement for up to $2,000 per calendar year to assist with your professional development
Company Overview