Founding Full Stack Engineer

Legend • New York City, NY

2d • Onsite

About The Position

We’re third-time founders (MasterClass, Outlier.org , etc.) building a new way to apply AI to the education system. Education is a trillion-dollar market that hasn’t meaningfully innovated in 150 years. Costs rise. Outcomes fall. Students everywhere deserve better. Our mission is to fix education and help every student on earth reach their full potential. Our plan is to build an AI Teacher Assistant/Grader that saves teachers 10-15 hours a week by automating assessment and reporting, while producing the most accurate, real-time student performance data in the world. We will sell access to that data layer to schools and parents, and expand into adjacent products (personalized learning, predictive interventions, competency-based certifications) all powered by the same core data. We believe you can only improve what you measure, every student deserves the chance to express their unique gifts, the best results come from personalized instruction, and the AI platform shift is the biggest opportunity of our lifetimes to improve education. You are an ambitious, product-minded, AI-native software engineer. A builder, not a researcher. Comfortable using LLMs daily in your workflow. Excited to use AI to make the world better. You have 2+ years into your career as a production engineer. You are strong with RAG/retrieval, embeddings, evaluation loops. You have experience building (if not architecting) large-scale data systems. You are ready to work in-person with the team in NYC. You will ship end-to-end features across TypeScript/React and a Python/Go backend. You will build with LLMs: prompting, evals, guardrails, RAG. You will fine-tune models (or leverage tuned ones) to optimize accuracy, latency, and cost. You will design and operate pipelines to ingest classroom artifacts at scale. You will work side-by-side with founders, shaping MVP → V1 and early technical choices. We work as a small, senior-leaning team (hiring 1–3 founding engineers now). We have weekly sprints, fast iterations, and regular contact with users.

Requirements

• 2+ years into your career as a production engineer.
• Strong with RAG/retrieval, embeddings, evaluation loops.
• Experienced building (if not architecting) large-scale data systems.
• Ready to work in-person with the team in NYC.

Nice To Haves

• Ambitious, product-minded, AI-native software engineer.
• A builder, not a researcher.
• Comfortable using LLMs daily in your workflow.
• Excited to use AI to make the world better.

Responsibilities

• Ship end-to-end features across TypeScript/React and a Python/Go backend.
• Build with LLMs: prompting, evals, guardrails, RAG.
• Fine-tune models (or leverage tuned ones) to optimize accuracy, latency, and cost.
• Design and operate pipelines to ingest classroom artifacts at scale.
• Work side-by-side with founders, shaping MVP → V1 and early technical choices.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed