[Hiring] Senior AI Product Engineer @Just Right Reader

Role Description

Just Right Reader works with school districts and state education agencies to get kids books at the right reading level. Our platform is TypeScript, Next.js and Postgres, and it connects to the CRM, ERP and internal systems that run the business. We're adding AI to the product. We have a list of projects we want to build and we haven't started on any of them, so we're hiring an engineer to do that work.

Key Responsibilities

• The projects are already scoped, so you wouldn't be coming in to figure out what we should build. You'd be building it, and making the technical decisions along the way: how we call models, what happens when the output comes back wrong, what we do about cost and latency, and how we test any of it.
• Implement a way to assess whether changes to prompts or models improve or worsen outcomes early in the development process.
• Address privacy and data handling in every design conversation, ensuring defensible recommendations.
• Conduct regular product work, including Next.js, schema design, and integration work alongside AI projects.

Qualifications

• Experience building an AI product from scratch and shipping it to real users.
• Senior-level experience as a full-stack or product engineer on production systems.
• Strong TypeScript skills, as nearly everything written will be in TypeScript.
• Experience with Next.js in production, including comfort with the App Router, server components, and API routes.
• Strong backend skills: API design, server-side business logic, and debugging.
• Strong PostgreSQL skills, including query design, optimization, and schema modeling.
• Experience with third-party API integration, focusing on failure cases.
• Familiarity with AWS services at the application level (e.g., S3, SQS, Lambda).

Requirements

• Knowledge of LLMs and their potential failures in production.
• Experience evaluating quality through methods like golden sets, scored runs, or human review.
• Judgment about when a model is the wrong tool for a problem.
• Understanding of the costs associated with running AI systems.

Working here

• Direct communication with operations, customer success, and fulfillment teams.
• Comfort treating internal tooling as a normal part of the job.

Useful but not required

• Experience with retrieval systems in production.
• Familiarity with eval tooling, Prisma, Terraform, or general infrastructure literacy.
• Knowledge of Python, previous K-12 or FERPA work.
• Experience with systems like NetSuite, HubSpot, Shopify, or Slack.

Why Join Us

• Be part of a passionate, growing team committed to educational equity and literacy innovation.
• Work in a collaborative and innovative environment with opportunities for growth and development.
• Receive a competitive salary and benefits package.