Senior Full Stack Engineer, AI Experience

Kiddom

🇺🇸In-Person - San Francisco or New York

K-12 Engineering Full Stack Development AI Development Machine Learning Backend Development Cloud Computing

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Role Snapshot

Senior Full Stack Engineer role at Kiddom focused on developing AI-enhanced educational interfaces for the AI Experience team. This position involves building end-to-end solutions that empower educators and students through AI-powered learning technologies.

Key Responsibilities: Build and optimize AI/LLM-powered features from React/TypeScript frontends to GoLang and Python backends, rapidly prototype new AI-driven capabilities, and analyze model performance at scale. Collaborate with product, design, data science, and ML engineering teams to turn complex concepts into robust, reliable user experiences.

Skills & Tools: 5–7+ years of professional software development experience with full-stack capability across frontend, backend, and AI integration layers. Strong ability to reason about AI system behavior, work with data pipelines, leverage AI tools effectively, and demonstrate collaborative, product-minded engineering with comfort in fast iteration and incomplete information.

Qualifications: Required experience includes proficiency in React/TypeScript, GoLang, or Python, with capability in AI/LLM integration and data pipeline analysis. Preferred qualifications include LLM integration experience, familiarity with vector databases, CI/CD expertise, and AWS ecosystem knowledge.

Location: In-Person - San Francisco or New York

Compensation: $180,000 – $230,000 / annually

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Job Description

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.