Related skills
datadog react java kotlin typescript📋 Description
- Lead full-stack design and delivery of AI-native solutions across Toast.
- Drive technical architecture for pod initiatives, from backend services to frontend interfaces.
- Build and integrate LLM-powered agents, tools, and workflows into product and platform contexts.
- Set and uphold pod engineering standards: code quality, system design, testing, and operational practices.
- Mentor engineers through design reviews, code reviews, and pairing.
- Partner with stakeholders across Toast engineering to define scope, align approach, and deliver outcomes.
🎯 Requirements
- 10+ years designing and delivering scalable software systems with strong full-stack background.
- Demonstrated experience leading technical architecture for a platform or team.
- Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure.
- Familiarity with AI coding assistants (Claude Code, Cursor, GitHub Copilot) and extending them via plugins or hooks.
- Experience with MCP (Model Context Protocol) or similar agentic integration frameworks.
- Strong prompt engineering skills and intuition for how LLM behavior responds to context and instructions.
🎁 Benefits
- Hybrid work model with in-person collaboration.
- Competitive compensation and benefits.
- Access to Toast benefits program (see link in posting).
- Learn in-office expectations by region on Locations page.
- Inclusive hiring process with accommodations.
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