About the job
Important Notice: This position requires in-office presence in San Francisco at our headquarters, collaborating with the entire team five days a week. We are not considering remote candidates.
About Campfire
At Campfire, we are dedicated to transforming the accounting software industry, challenging established players like Netsuite to create modern solutions tailored for startups and mid-sized tech companies. Proud graduates of Y Combinator's Summer 2023 cohort, we are backed by leading investors such as Foundation Capital and are experiencing rapid growth in our customer base.
Your Role
As an AI Engineer at Campfire, you will be instrumental in designing and deploying AI-enhanced solutions that elevate our accounting platform. Your work will encompass automating financial workflows and developing intelligent features that deliver real-time insights, placing you at the forefront of making accounting smarter, quicker, and more intuitive for our users.
We Are Looking For
Expertise Required:
A robust background in machine learning, deep learning, and natural language processing (NLP).
Demonstrated experience with frameworks such as PyTorch or TensorFlow, along with proficiency in Python.
Hands-on experience with deploying machine learning models in production settings.
Familiarity with Large Language Models (LLMs) (e.g., OpenAI, Hugging Face) and their fine-tuning for practical applications.
Ability to Thrive in Agile Environments:
You are adaptable and thrive in a fast-paced setting, eager to experiment, iterate, and deliver results swiftly.
Autonomous Work Ethic:
You take full ownership of projects, from initial model prototyping to deployment and ongoing monitoring.
Ideal Candidate
You are not merely seeking employment; you are looking for a meaningful challenge.
You are passionate about leveraging AI to tackle genuine business challenges.
You aspire to create practical, customer-centric AI applications rather than focusing solely on research.
You are enthusiastic about cross-functional collaboration with teams across engineering, product, and design within a dynamic startup.
Join Us
Think you are the right fit? We are eager to connect with you! Please reach out and share your experience.

