Kiddom
Senior Full Stack Engineer, AI Experience
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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
- Bachelor’s or Master’s degree in CS or equivalent work experience
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)
Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process.
What we offer
Full time permanent employees are eligible for the following benefits from their first day of employment:
* 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
Equal Employment Opportunity Policy
Kiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.
Kiddom San Francisco, California, USA Office
We are in Union Square, close to BART, MUNI, other public transportation, coffee shops, restaurants, bars, and shops. It's a bustling neighborhood in the heart of San Francisco with easy access to restaurants for offsite socializing at lunch or after work.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
