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Founding Engineer - Remote)

SIVAD Consulting

RemoteUnited StatesUSD 180k–240kseniorFull Time
Posted
today
Source
Himalayas
Field
Engineering

Skills

TypeScriptAccountingPythonNext.jsLLMsAI

Description

Founding Engineer – Remote (Ab-Intel) Salary Range: 180k to $240k We are looking for a Founding Engineer with 2-7 years of experienceto help build AI agents that automate tax preparation for the largest accounting firms in the US. Abacus is profitable, has passed seven figures in revenue in under a year, and is live in 11 of the top 100 firms. We want a high-bar generalist who makes sharp backend decisions and wants to help scale a product that customers already pay for. Responsibilities - Build the core tax-automation platform as a generalist: mostly backend, with some frontend - Help ship the next major version of the product, a big relaunch planned for early next year - Make backend architecture decisions on your own, working closely with the CTO and Head of Engineering - Build our LLM and OCR agent pipelines and turn what firms tell us into product - Work on new products in tax and in other accounting workflows, such as audit Key Requirements - Strong Python skills; TypeScript is a strong plus - Hands-on experience making backend architecture decisions - Experience at a venture-backed, fast-growing startup (Seed through Series B) is strongly preferred; long tenures at big tech or slow enterprises are a negative signal - CS degree strongly preferred (Math or Physics also considered) from a top-50 US school, ideally with a strong GPA - A builder mindset with high ownership and urgency; side projects and 0-to-1 work are a plus Work experience - Experience building 0 to 1 at early-​stage,​ venture-​backed startups (Seed to Series B,​ Y Combinator) or as a founding engineer - Proficiency in Python and TypeScript - 2 -​ 7 years of experience as a software engineer - Has owned features from design to production - Experience shipping LLM or agent-​based features to production - Owned backend architecture decisions (classic systems,​ with LLM features on top) Nice-to-have - Experience with document extraction or data pipelines at scale Education - CS or related technical degree from a Top 50 US university Originally posted on Himalayas

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