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Kiddom

Posted 4 months ago

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Senior Full Stack Engineer, AI Experience

San FranciscoRemoteFull-time

AI Summary

Senior Full Stack Engineer focused on building AI-enhanced interfaces, spanning React/TypeScript frontend and Go/Python backend, contributing to AI-powered features for educators and students.

About this role

About Kiddom

Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum – resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom’s high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning.

We’re looking for a Senior Full Stack Engineer to join our AI Experience Pod - the team responsible for Kiddom’s flagship AI-powered experience. AI Experience leverages AI to build technology enabling all teachers and learners to unlock their full potential. This role focuses on building intuitive, performant, and AI-enhanced interfaces that create a delightful AI Experience for educators and students.

You’ll work within a small, agile team of 3–4 engineers, collaborating closely with product, design, and data partners. This role is ideal for someone who is deeply AI-native - an engineer who uses AI tools daily to accelerate development, improve code quality, and meaningfully integrate AI into user-facing experiences. You should thrive in ambiguity, enjoy complex technical challenges, and be motivated by building transformative, AI-first products for educators and students.

What You'll Do...

  • Build end-to-end solutions from React/TypeScript frontends to GoLang and Python backend services (being highly experienced in one of these can be sufficient)
  • Develop, maintain, and optimize AI/LLM-powered features that personalize learning at scale
  • Rapidly prototype new AI-driven capabilities and iterate based on user feedback and data
  • Work with large datasets to analyze model performance, identify issues, and guide improvements
  • Turn complex product concepts into robust, reliable AI-enhanced user experiences
  • Collaborate closely with product, design, data science, and ML engineering partners
  • Contribute to architectural decisions, tooling enhancements, and best practices across the stack
  • Leverage AI tools to improve engineering velocity, code quality, and experimentation workflows

    • What We're Looking For...

  • 5–7+ years of professional software development experience
  • A full-stack mindset with willingness to work across frontend, backend, AI integration layers, and supporting infrastructure
  • Strong ability to reason about AI system behavior, model limitations, and best practices for safe, reliable integration
  • Experience working with data pipelines, experiment evaluation, or model performance analysis
  • A collaborative, product-minded engineer who enjoys working directly with design and PM partners
  • Someone who embraces fast iteration, incomplete information, and continuous learning
  • An AI-native engineer who knows how to select, use, and apply AI tools effectively in both development and product experiences

    • Bonus...

  • Experience integrating LLMs or ML systems into production applicationsFamiliarity with vector databases, embeddings, or retrieval-augmented generation
  • CI/CD experience (GitHub Actions or similar)
  • Familiarity with the AWS ecosystem (Lambda, ECS, RDS, k8s, containerized applications)

    • Skills

    AI/LLM IntegrationAWS (Lambda, ECS, RDS)Backend ServicesCI/CDContainerized ApplicationsData PipelinesData Science CollaborationEmbeddingsExperimentation WorkflowsGitHub ActionsGOGolangKubernetesModel Performance AnalysisProduct-minded EngineeringPythonReactRetrieval-augmented GenerationTypeScriptVector Databases

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