19h ago
Principal Software Engineer
Dublin, Ireland
β¨ $225k-$300k / yearest.
full-timelead Hybridsoftware Visa Sponsor
π Tech Stack
πΌ About This Role
You'll lead full-stack AI-native solutions for Toast's AI pod, tackling complex, high-impact problems across product and platform landscapes. You'll drive technical architecture from backend services to frontend interfaces, and mentor engineers. This role combines deep technical expertise with AI-first approaches in a hybrid setting.
π― What You'll Do
- Lead full-stack design and delivery of AI-native solutions across cross-functional problems.
- Drive technical architecture for pod initiatives, from backend APIs to frontend interfaces.
- Build and integrate LLM-powered agents, tools, and workflows into product contexts.
- Set and uphold engineering standards for code quality, system design, and testing.
- Mentor engineers through design reviews, code reviews, and pairing.
π Requirements
- 10+ years experience designing and delivering scalable software systems with full-stack background.
- Demonstrated experience leading technical architecture for a platform, product, or engineering team.
- Experience building, deploying, or operating LLM-powered agents or AI platform infrastructure.
- Strong foundation in modern backend (Java, Kotlin or similar) and frontend (TypeScript, React or similar) technologies.
β¨ Nice to Have
- Familiarity with AI coding assistants (Claude Code, Cursor, GitHub Copilot) and extending them.
- Experience with MCP, tool use patterns, or agentic integration frameworks.
- Strong prompt engineering skills and intuition for LLM behavior.
π Benefits & Perks
- π° Competitive compensation and benefits programs.
- ποΈ Flexible work model fostering in-person collaboration.
- π Learning opportunities with AI tools across all disciplines.
- π₯ Health and wellness support (details at careers.toasttab.com/toast-benefits).
π¨ Hiring Process
Estimated timeline: 4-6 weeks Β· AI estimate
- 1Recruiter phone screenΒ· 30 min
- 2Technical phone screen or coding exerciseΒ· 60 min
- 3On-site interviews (technical, system design, behavioral)Β· 4 hours
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