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Principal Software Engineer(m/w/x)
Designing and delivering AI-native solutions with LLM-powered agents for restaurant tech. 10+ years of scalable software systems design and full-stack experience required. Full relocation provided, flexible work arrangements.
Requirements
- 10+ years designing/delivering scalable software systems
- Strong full-stack background (backend/frontend/developer interfaces)
- Leading technical architecture for platform/product/team
- Building/deploying/operating LLM agents or AI infrastructure
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot)
- Extending AI coding assistants via custom plugins/skills/hooks
- Experience with MCP, tool use patterns, or agentic integration frameworks
- Strong prompt engineering skills
- Intuition for LLM behavior response to context/instructions
- Strong backend technologies (Java, Kotlin, or similar)
- Strong frontend technologies (TypeScript, React, or similar)
- Bias towards action
- Comfort operating in ambiguous, rapidly evolving problem spaces
- Familiarity with A2A protocols
- Familiarity with multi-agent orchestration patterns
- Experience with machine learning concepts
- Experience with model evaluation
- Experience with ML infrastructure
- Building developer experience platforms or internal tooling
- Familiarity with observability tooling for AI/LLM systems
Tasks
- Lead full-stack design and delivery of AI-native solutions
- Drive technical architecture for pod initiatives
- Build and integrate LLM-powered agents and tools
- Set and uphold engineering standards
- Mentor engineers through design and code reviews
- Partner with stakeholders to define problem scope
- Deliver outcomes aligned with cross-functional approaches
- Serve as a technical voice in cross-team discussions
- Connect pod work to broader engineering patterns
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Java
- Kotlin
- TypeScript
- React
- Claude Code
- Cursor
- GitHub Copilot
- MCP
- Langfuse
- DataDog
Benefits
Other Benefits
- Full relocation provided
- Competitive benefits programs
Competitive Pay
- Competitive compensation
Healthcare & Fitness
- Healthy lifestyle support
Flexible Working
- Flexible work arrangements
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Principal Software Engineer(m/w/x)
Designing and delivering AI-native solutions with LLM-powered agents for restaurant tech. 10+ years of scalable software systems design and full-stack experience required. Full relocation provided, flexible work arrangements.
Requirements
- 10+ years designing/delivering scalable software systems
- Strong full-stack background (backend/frontend/developer interfaces)
- Leading technical architecture for platform/product/team
- Building/deploying/operating LLM agents or AI infrastructure
- Familiarity with AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot)
- Extending AI coding assistants via custom plugins/skills/hooks
- Experience with MCP, tool use patterns, or agentic integration frameworks
- Strong prompt engineering skills
- Intuition for LLM behavior response to context/instructions
- Strong backend technologies (Java, Kotlin, or similar)
- Strong frontend technologies (TypeScript, React, or similar)
- Bias towards action
- Comfort operating in ambiguous, rapidly evolving problem spaces
- Familiarity with A2A protocols
- Familiarity with multi-agent orchestration patterns
- Experience with machine learning concepts
- Experience with model evaluation
- Experience with ML infrastructure
- Building developer experience platforms or internal tooling
- Familiarity with observability tooling for AI/LLM systems
Tasks
- Lead full-stack design and delivery of AI-native solutions
- Drive technical architecture for pod initiatives
- Build and integrate LLM-powered agents and tools
- Set and uphold engineering standards
- Mentor engineers through design and code reviews
- Partner with stakeholders to define problem scope
- Deliver outcomes aligned with cross-functional approaches
- Serve as a technical voice in cross-team discussions
- Connect pod work to broader engineering patterns
Work Experience
- 10 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Java
- Kotlin
- TypeScript
- React
- Claude Code
- Cursor
- GitHub Copilot
- MCP
- Langfuse
- DataDog
Benefits
Other Benefits
- Full relocation provided
- Competitive benefits programs
Competitive Pay
- Competitive compensation
Healthcare & Fitness
- Healthy lifestyle support
Flexible Working
- Flexible work arrangements
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Toast
Industry
Food
Description
Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.