Full-Stack Engineer — AI Product Builder (Hybrid NYC)

Pangram; New York (NY); Híbrido; USD 120.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Browser extensions experience

Mobile apps experience

Startup experience

AI/ML interest

Descripción de la vacante

Pangram Labs, a Brooklyn-based team building AI detection software, is seeking mid-level to senior full-stack and product engineers. You will own features end-to-end, collaborate with GTM, Product and Research, and turn designs into polished user experiences.

Hybrid NYC office work, strong coding craft, and clear communication are required. You will contribute across front-end and back-end, work with React/Next.js and Python, and help advance our AI tooling and observability.

Formación

• 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

Responsabilidades

• 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

Conocimientos

3+ years software engineering

Python

React

Next.js

TypeScript

APIs

Microservices

Relational databases

AI coding tools

Full-stack

Communication

Attention to detail

Bias towards action

Herramientas

React

Next.js

TypeScript

Descripción del empleo

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