AI Infrastructure Engineer @Fin

Overview

Fin is an AI Customer Agent company on a mission to help businesses provide exceptional customer experiences. They are seeking Senior+ AI Infrastructure Engineers to develop the systems that train and serve their next-generation AI products.

Key Responsibilities

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
• Build and optimize inference services to deliver low-latency, high-reliability experiences for customers.
• Work on GPU-level performance: tuning kernels, improving utilization, and identifying bottlenecks across training and inference stack.
• Collaborate closely with ML scientists to implement cutting-edge training and inference methods in production.
• Participate in hiring, mentoring, and developing other engineers on the team.
• Raise technical standards, reliability, and operational excellence across Fin's AI platform.

Requirements

• 5+ years of experience in software engineering, with a strong track record of shipping high-quality products.
• Degree in Computer Science, Computer Engineering, or related field, or equivalent experience.
• Hands-on experience with: model training (especially transformers and LLMs), model inference at scale, and low-level GPU work.
• Experience working in production environments at scale.
• Strong communication skills and ability to collaborate with engineers and non-engineers.
• Proficient in at least one programming language (e.g., Python, Ruby, Java, Go).

Benefits

Fin offers various benefits and programs that support health, wellbeing, family, time away from work, and financial future, tailored by location.

Location

This is a hybrid role, with employees expected to be in the office at least three days per week.

How to Apply

Interested candidates should apply through the Fin careers page.

Deadline

No specific deadline stated.