Senior Full Stack Engineer, Atlas

Kiddom•San Francisco or New York, NY

13d•$180,000 - $230,000

About The Position

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.

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 Haves

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)

Responsibilities

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

Benefits

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