Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.
Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.
As a Senior AI Infrastructure Engineer focused on model training and inference, you will:
Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
We’re looking to hire Senior+ AI Infrastructure Engineers. You have 5+ years of experience in software engineering, with a strong track record of shipping high‑quality products or platforms.
You have hands‑on experience with one or more of the following:
Comfortable working in production environments at meaningful scale (traffic, data, or organizational).
Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Bonus skills & attributes
Production experience with Python in ML or infrastructure contexts.
Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings
Benefits
We are a well treated bunch, with awesome benefits! Competitive salary, annual bonus and equity
Hybrid working
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone.