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Principal Software Engineer - AI Pod(m/w/x)
Designing and delivering AI-native solutions with LLM-powered agents. 10+ years scalable system design experience required. Full relocation provided, hybrid work.
Requirements
- 10+ years designing scalable software systems
- Strong full-stack background
- Backend services experience
- Frontend or developer-facing interfaces experience
- Leading technical architecture experience
- Building LLM-powered agents experience
- Deploying LLM-powered agents experience
- Operating LLM-powered agents experience
- Building AI platform infrastructure experience
- Deploying AI platform infrastructure experience
- Operating AI platform infrastructure experience
- Familiarity with AI coding assistants
- Extending AI coding assistants with custom plugins
- Extending AI coding assistants with custom skills
- Extending AI coding assistants with custom hooks
- Experience with MCP
- Experience with tool use patterns
- Experience with agentic integration frameworks
- Strong prompt engineering skills
- Intuition for LLM behavior response
- Strong foundation in modern backend technologies
- Strong foundation in modern frontend technologies
- Bias towards action
- Comfort operating in ambiguous problem spaces
- Comfort operating in 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 experience
- Building internal tooling experience
- 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
- Langfuse
- DataDog
Benefits
Other Benefits
- Full relocation provided
Flexible Working
- Hybrid work model
- Flexible work arrangements
Competitive Pay
- Total rewards package
Healthcare & Fitness
- Healthy lifestyle support
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Principal Software Engineer - AI Pod(m/w/x)
Designing and delivering AI-native solutions with LLM-powered agents. 10+ years scalable system design experience required. Full relocation provided, hybrid work.
Requirements
- 10+ years designing scalable software systems
- Strong full-stack background
- Backend services experience
- Frontend or developer-facing interfaces experience
- Leading technical architecture experience
- Building LLM-powered agents experience
- Deploying LLM-powered agents experience
- Operating LLM-powered agents experience
- Building AI platform infrastructure experience
- Deploying AI platform infrastructure experience
- Operating AI platform infrastructure experience
- Familiarity with AI coding assistants
- Extending AI coding assistants with custom plugins
- Extending AI coding assistants with custom skills
- Extending AI coding assistants with custom hooks
- Experience with MCP
- Experience with tool use patterns
- Experience with agentic integration frameworks
- Strong prompt engineering skills
- Intuition for LLM behavior response
- Strong foundation in modern backend technologies
- Strong foundation in modern frontend technologies
- Bias towards action
- Comfort operating in ambiguous problem spaces
- Comfort operating in 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 experience
- Building internal tooling experience
- 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
- Langfuse
- DataDog
Benefits
Other Benefits
- Full relocation provided
Flexible Working
- Hybrid work model
- Flexible work arrangements
Competitive Pay
- Total rewards package
Healthcare & Fitness
- Healthy lifestyle support
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.
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