Dein persönlicher KI-Karriere-Agent
Staff Backend Engineer, AI Platform(m/w/x)
Designing multi-agent systems and LLM gateways for AI platform architecture. 8+ years software engineering experience, including 2+ years at Staff level, required. 100% remote work with company-wide knowledge sharing sessions.
Anforderungen
- 8+ years software engineering experience
- At least 2 years at Staff level
- Deep Python expertise
- Proficient in production-grade Python services
- Production experience with LLM-based systems
- Experience operating AI features at scale
- Understanding of AI operational realities
- Strong architectural instincts
- Ability to design evolving systems
- Pragmatic trade-offs between speed and extensibility
- Familiarity with modern AI tooling ecosystem
- Experience with AI frameworks and libraries
- Confidence evaluating and integrating AI tools
- Multi-agent architecture experience
- Experience with agent orchestration
- Comfort working across polyglot stack
- Adaptability to read and integrate code
- Infrastructure fluency
- Comfort with AWS
- Comfort with Kubernetes
- Comfort with CI/CD pipelines
- Comfort operating services in production
- Cross-team influence
- Ability to lead through clarity and credibility
- Experience driving adoption beyond immediate team
Aufgaben
- Own AI Platform architecture and technical direction
- Lead design of multi-agent system
- Implement agent orchestrator
- Build LLM gateway
- Develop prompt and tool versioning
- Create evaluation framework
- Establish end-to-end observability
- Build production-grade AI infrastructure
- Design core AI services
- Implement reliable AI features
- Ensure AI features are versioned
- Make AI features observable
- Ensure AI features are safe to ship
- Drive AI evaluation and quality
- Establish quality gates for AI features
- Implement prompt comparison workflows
- Develop hallucination detection
- Integrate CI/CD for AI features
- Shape LLM gateway strategy
- Ensure LLM provider failover
- Implement LLM model routing
- Manage LLM cost tracking
- Implement LLM rate limiting
- Champion cross-team AI Platform adoption
- Collaborate with product teams
- Publish internal AI Platform blueprints
- Define AI integration patterns
- Enable teams to build specialized agents
- Influence engineering-wide AI practices
- Drive best practices for prompt engineering
- Drive best practices for tool design
- Drive best practices for AI observability
- Drive best practices for agent testing
- Mentor and elevate AI engineers
- Raise technical bar across AI team
- Provide code review
- Offer architectural guidance
- Conduct hands-on pairing
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PydanticAI
- LangChain
- LangGraph
- LiteLLM
- Langfuse
- Phoenix
- MLflow
- Go
- PHP
- React
- AWS
- Kubernetes
- CI/CD
Benefits
Flexibles Arbeiten
- 100% Remote
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Staff Backend Engineer, AI Platform(m/w/x)
Designing multi-agent systems and LLM gateways for AI platform architecture. 8+ years software engineering experience, including 2+ years at Staff level, required. 100% remote work with company-wide knowledge sharing sessions.
Anforderungen
- 8+ years software engineering experience
- At least 2 years at Staff level
- Deep Python expertise
- Proficient in production-grade Python services
- Production experience with LLM-based systems
- Experience operating AI features at scale
- Understanding of AI operational realities
- Strong architectural instincts
- Ability to design evolving systems
- Pragmatic trade-offs between speed and extensibility
- Familiarity with modern AI tooling ecosystem
- Experience with AI frameworks and libraries
- Confidence evaluating and integrating AI tools
- Multi-agent architecture experience
- Experience with agent orchestration
- Comfort working across polyglot stack
- Adaptability to read and integrate code
- Infrastructure fluency
- Comfort with AWS
- Comfort with Kubernetes
- Comfort with CI/CD pipelines
- Comfort operating services in production
- Cross-team influence
- Ability to lead through clarity and credibility
- Experience driving adoption beyond immediate team
Aufgaben
- Own AI Platform architecture and technical direction
- Lead design of multi-agent system
- Implement agent orchestrator
- Build LLM gateway
- Develop prompt and tool versioning
- Create evaluation framework
- Establish end-to-end observability
- Build production-grade AI infrastructure
- Design core AI services
- Implement reliable AI features
- Ensure AI features are versioned
- Make AI features observable
- Ensure AI features are safe to ship
- Drive AI evaluation and quality
- Establish quality gates for AI features
- Implement prompt comparison workflows
- Develop hallucination detection
- Integrate CI/CD for AI features
- Shape LLM gateway strategy
- Ensure LLM provider failover
- Implement LLM model routing
- Manage LLM cost tracking
- Implement LLM rate limiting
- Champion cross-team AI Platform adoption
- Collaborate with product teams
- Publish internal AI Platform blueprints
- Define AI integration patterns
- Enable teams to build specialized agents
- Influence engineering-wide AI practices
- Drive best practices for prompt engineering
- Drive best practices for tool design
- Drive best practices for AI observability
- Drive best practices for agent testing
- Mentor and elevate AI engineers
- Raise technical bar across AI team
- Provide code review
- Offer architectural guidance
- Conduct hands-on pairing
Berufserfahrung
- 8 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PydanticAI
- LangChain
- LangGraph
- LiteLLM
- Langfuse
- Phoenix
- MLflow
- Go
- PHP
- React
- AWS
- Kubernetes
- CI/CD
Benefits
Flexibles Arbeiten
- 100% Remote
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Hostaway
Branche
RealEstate
Beschreibung
The company is transforming the vacation rental industry with innovative SaaS solutions and partnerships with major platforms.
Noch nicht perfekt?
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