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Founding Engineer - Abacus

Pear VC

RemoteFull-time

About the role

Abacus is seeking a Founding Engineer to enhance its machine learning engine that automates accounting workflows. This role involves improving and scaling the ML extraction engine using large language models and optical character recognition, as well as making backend architecture decisions. The engineer will also be responsible for developing and deploying new automation features tailored for tax firms. Collaboration with the co-founders will be essential to align on product and user requirements, while also contributing to the establishment of the engineering culture and technical roadmap. Candidates should have 1 to 5 years of experience, preferably in environments that emphasize ownership and innovation. Strong backend development skills in Python are required, along with a proven track record of building projects from the ground up, whether through side projects or startup experience. This position is based in the San Francisco office, requiring in-person attendance five days a week. The role is ideal for individuals looking to make a significant impact in a high-growth startup environment.

The advert

ABOUT ABACUS Abacus is reinventing how accounting firms operate by building AI agents that automate the tedious, repetitive workflows that teams currently face. Our core engine combines advanced OCR and LLMs to deliver truly intelligent back-office automation. We're already working with large enterprise clients, generating meaningful revenue, and backed by top-tier investors. We’ve accomplished all of this as a team of two, and we’re excited to grow our team. If you want to shape the future of AI-powered operations and own meaningful technical work from day one, this is the place. The Role We're hiring our first Founding Engineer to own and expand the core machine learning engine behind Abacus. You’ll report directly to the co-founders and work in person from our SF office. This is a rare opportunity to join a high-growth company as an early engineer with massive autonomy and influence over product and technical direction. In your first 3–6 months, you’ll: - Improve and scale our ML extraction engine using LLMs and OCR - Own backend architecture and infrastructure decisions - Build and ship greenfield features to expand the workflows we automate Over the next year, you'll help lay the groundwork for our engineering org as we scale, while staying hands-on and focused on impact. What You’ll Do - Lead development of our ML-powered document extraction engine - Architect backend systems with performance and scalability in mind - Build and deploy new automation features for tax firms - Collaborate closely with the founders on product and user needs - Help define our engineering culture and technical roadmap What We're Looking For Must-haves: - 1–5 years of experience, ideally in high-ownership or early-stage environments - Strong backend development skills, particularly in Python - Proven 0→1 builder (side projects, startup experience, or both) - Willingness to work from our SF office, 5 days/week - Willingness to complete a technical take-home exercise as part of the process Nice-to-haves: - Experience with LLMs, OCR, or data extraction systems - Exposure to AI infrastructure or evaluation frameworks Why Join Us - No ceiling on ownership or growth - Significant equity and high-leverage role at a fast-growing startup - Top-tier health insurance, daily lunches, and an in-office barista - You’ll help define the trajectory of the product, team, and company!

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