Full-Stack Engineer
Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Sep 11, 2026.
About Pangram Labs
Pangram Labs builds state-of-the-art AI detection software. Our models identify AI-generated text and images, and we bring that capability to our users through our web app, browser extensions, platform integrations, and API. Pangram serves teachers and universities, publishers, newsrooms, hiring teams, and enterprises.
We are a small team based in person in Brooklyn, New York.
The Role
We are looking for mid-level and senior Full-Stack and Product Engineers with great product sense and programming skills. Full-stack engineers at Pangram own the product lifecycle from end-to-end: assisting designers and PMs in understanding our users, architecting product flows, building clean UIs, microservices, and APIs, and owning instrumentation and observability.
Responsibilities
Own and ship product features end-to-end in both consumer and B2B verticals.
Work closely with GTM, Product, and Research functions to bring Pangram’s machine learning technology to polished user experiences
Turn design specs and prototypes into shippable, working products
Review code and raise the quality bar for code across the company
Requirements
At least 3 years of professional software engineering experience
Fluency in Python and a modern front-end framework (we use React and Next.js with Typescript)
Fluency in relational databases, APIs, and microservices
Experience with integrating third-party services
Fluency and comfort with AI coding tools and thoughtfulness around their use
Based in or willing to relocate to the NYC area to work from our office on a hybrid schedule
Comfort across the stack: front-end and back-end, with strength in either and at minimum comfort in the other.
A strong sense of taste and craftsmanship, bias towards action, and clear communication skills
Nice to have
Experience with browser extensions
Experience with mobile apps
Working experience at an early stage startup
Interest in AI, machine learning, and LLMs; including AI safety and responsible AI