✦ Luna Orbit — Software Engineering

Sr. Implementation Consultant

at Klaviyo

📍 Denver, CO Onsite Posted March 18, 2026
Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Software Engineering

This role involves leading the architecture and development of AI services and systems that support Klaviyo’s AI & Analytics platform. The engineer will focus on building scalable, reliable backend systems for AI models and agentic capabilities.

  • Design scalable AI backend systems
  • Lead AI architecture development
  • Deploy and optimize AI models
  • Guide engineering teams
  • Improve AI & agentic system reliability

Focuses on AI system architecture, backend development, distributed systems, model hosting, and scalability. Requires expertise in AI & Analytics infrastructure and low-latency systems.

The ideal candidate is a senior AI engineer with expertise in designing scalable, low-latency backend systems, deploying AI models, and working with distributed AI infrastructure. They should have experience guiding technical teams and developing AI & analytics solutions.

AI system architectureBackend developmentDistributed backend systemsAI model deploymentScalable systems
ML frameworksData scienceAI product developmentAgentic systemsObservability
AI & Analytics infrastructureBackend APIsAI modelsLLMsRetrieval systems
artificial intelligencemachine learningdistributed systemsbackend systemsapisai modelsscalabilitylow-latency systemsllmsretrieval systems
AIArtificial IntelligenceMachine LearningDistributed SystemsBackend SystemsAPIsModel HostingScalabilityLow-latency SystemsAI & Analytics
LeadershipCollaborationProblem-solvingTechnical GuidanceCommunicationInnovation
Industry SaaS
Job Function Developing and leading AI infrastructure and systems
Role Subtype AI & Machine Learning
Tech Domains Artificial Intelligence, Machine Learning, Distributed Systems, APIs
artificial intelligencemachine learningdistributed systemsbackend systemsapisai modelsscalabilitylow-latency systemsllmsretrieval systemsai infrastructureai & analyticsmodel deploymentagentic architecturescalable backend

Lack of experience with distributed backend systems, No background in AI model deployment, Inability to work on scalable, low-latency systems, No experience with AI & Analytics infrastructure

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