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Senior Full Stack Engineer

kiddom.co Logo

Kiddom

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Location:
United States , San Francisco Or New York

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Contract Type:
Not provided

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Salary:

180000.00 - 230000.00 USD / Year

Job Description:

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.

Job Responsibility:

  • Build end-to-end solutions from React/TypeScript frontends to GoLang and Python backend services
  • 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

Requirements:

  • 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

Nice to have:

  • Experience integrating LLMs or ML systems into production applications
  • Familiarity 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)
What we offer:
  • Competitive salary
  • Meaningful equity
  • Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance
  • One Medical membership (in participating locations)
  • Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year.
  • 10 paid sick days per year (pro rated depending on start date)
  • Paid holidays
  • Paid bereavement leave
  • Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State.
  • Commuter and FSA plans

Additional Information:

Job Posted:
January 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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