Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Java
- Kotlin
- TypeScript
- React
- Claude Code
- Cursor
- GitHub Copilot
- Langfuse
- DataDog
Benefits
Sonstige Vorteile
- Full relocation provided
Flexibles Arbeiten
- Hybrid work model
- Flexible work arrangements
Attraktive Vergütung
- Total rewards package
Gesundheits- & Fitnessangebote
- 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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 10 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Java
- Kotlin
- TypeScript
- React
- Claude Code
- Cursor
- GitHub Copilot
- Langfuse
- DataDog
Benefits
Sonstige Vorteile
- Full relocation provided
Flexibles Arbeiten
- Hybrid work model
- Flexible work arrangements
Attraktive Vergütung
- Total rewards package
Gesundheits- & Fitnessangebote
- Healthy lifestyle support
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Toast
Branche
Food
Beschreibung
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.
Noch nicht perfekt?
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