AI-Driven Full‑Stack Engineer for Education Tech

Kiddom; San Francisco (CA); On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Health insurance

Meaningful equity

401k plan

One Medical membership

Flexible vacation

Paid holidays

Paid family leave

Commuter benefits

Job summary

Kiddom is hiring a software engineer to build end-to-end systems spanning React/TypeScript frontends and Go/Python backends. You will shape AI-powered features for scalable personalized learning, prototype new AI capabilities, and analyze model performance on large datasets.

You will collaborate with product, design, data science, and ML engineering teams to improve architecture, tooling, and development velocity. This is a full-time opportunity in a fast-evolving space.

Qualifications

• 5–7+ years of professional software development experience.
• Full-stack mindset across frontend, backend, AI integration layers, and supporting infra.

Responsibilities

• Build end-to-end solutions from React/TypeScript frontends to Go/Python backends.
• Develop, maintain, and optimize AI/LLM-powered features for personalized learning.
• Prototype AI-driven capabilities and iterate from user feedback and data.
• Work with large datasets to analyze model performance and guide improvements.
• Turn complex product concepts into robust AI-enhanced user experiences.
• Collaborate with product, design, data science, and ML engineering teams.
• Contribute to architectural decisions, tooling, and best practices across the stack.
• Improve engineering velocity and code quality using AI tools.

Skills

Full-stack mindset

React/TypeScript

GoLang/Python backend

AI integration

Data pipelines

Model performance analysis

Collaboration with product/PM

Education

Bachelor’s or Master’s degree in CS

Tools

GitHub Actions

AWS (Lambda, ECS, RDS)

Kubernetes (k8s)

Containerized applications

Vector databases

Embeddings

Retrieval-Augmented Generation

Job description

Kiddom is hiring a software engineer to build end-to-end systems spanning React/TypeScript frontends and Go/Python backends. You will shape AI-powered features for scalable personalized learning, prototype new AI capabilities, and analyze model performance on large datasets.

You will collaborate with product, design, data science, and ML engineering teams to improve architecture, tooling, and development velocity. This is a full-time opportunity in a fast-evolving space.