Senior Full Stack Engineer, AI Experience

Posted 12 Days Ago
Be an Early Applicant
2 Locations
Hybrid
180K-230K Annually
Senior level
Edtech
Kiddom provides schools and districts with access to high-quality curricula in Math, ELA, Science, and Social Studies.
The Role
As a Senior Full Stack Engineer, you will develop AI-enhanced solutions, collaborate with teams, and optimize learning experiences using various technologies.
Summary Generated by Built In
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)

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.

Top Skills

AI
AWS
Go
Ml
Python
React
Typescript
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The Company
HQ: San Francisco, CA
130 Employees
Year Founded: 2015

What We Do

Kiddom unleashes the full potential of high-quality instructional materials paired with effective tech enhancements and hand-in-hand support to help teachers do what teachers do best, teach with a human touch. For over 10 years, we’ve been combining valuable open educational resources with simple, flexible technology. Our feature-rich learning platform gives teachers time back, so they can do what they do best, teach. Accelerate planning, instructional delivery, assessment, and reporting while using proven-curriculum teaches already know and love.

Why Work With Us

We innovate at the speed of technology. We are introducing new AI features to streamline routine teacher tasks and more equitably serve student needs. We’re dedicated to developing AI enhancements that drastically improve the teacher’s ability to unpack, understand, and implement HQIM with fidelity.

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