Job Url: https://jobs.ashbyhq.com/UpCodes/1ed9b2d6-86fb-4ff0-9dff-4d215e5e08e4?utm_source=Otta

Job Description: Full Stack Engineer
Location
North America, South America

Employment Type
Full time

Location Type
Remote

Department
Engineering

Compensation
United States
$120K – $175K • Offers Equity
Canada
$108K – $157.5K • Offers Equity
South America
$90K – $131.3K
Our salary ranges are designed to be competitive within our industry and company size. Our compensation philosophy is built on transparency, ensuring that experience and expertise are rewarded fairly while going beyond base salary to include equity, benefits, perks, and opportunities for growth. Pay decisions are made at the time of an offer, considering qualifications, experience, skills, location, and internal pay equity. We expect candidates to be offered a salary within our established ranges.

Overview
Application
THE ROLE

As a foundational member of our engineering team, you'll be involved in end-to-end development on features across our web product. We have a frequent cadence of shipping new features and a close connection to our market.

You'll have to be willing to get your hands dirty with (and learn) everything across the stack: API design, frontend, backend, data engineering, algorithms, LLMs, startup engineering, analytics, etc.

THE IDEAL CANDIDATE

3+ years of experience building web products, ideally across the stack

Clean simple code, even when solving complex problems

Strong sense of UX

Good systems design

Ability to learn new tech quickly

Enjoyable to work with

TECHNOLOGY STACK

Python, PostgreSQL, FastAPI, Redis, TypeScript, React, Next.js, Tailwind, AWS, Kubernetes, Pinecone, OpenAI

EXAMPLE PROJECTS

Use an LLM to identify references to other sections in the text of the law

Create Rap Genius-style annotations on sections of building code, to create a more interactive user experience

Write algorithms to detect and display how versions of a code have changed through time, so users understand how regulations have evolved

Migrate our NLP algorithms over to use LLMs

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