AI Infrastructure Engineer @Fin

Overview

Fin is an AI Customer Agent company on a mission to help businesses provide perfect customer experiences using its AI-powered system. The company is seeking Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of 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 that deliver low‑latency, high‑reliability experiences for customers, including autoscaling, routing, and fallbacks.
• Work on GPU-level performance, tuning kernels, improving utilization, and identifying bottlenecks across the training and inference stack.
• Collaborate closely with ML scientists to implement cutting-edge training and inference methods and bring them to production.
• Mentor and develop other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform.

Requirements

• 5+ years of experience in software engineering with a solid track record of shipping high-quality products or platforms.
• A degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
• Hands-on experience with model training and inference at scale, particularly with transformers and LLMs.
• Low-level GPU work experience, such as writing CUDA or Triton kernels.
• Ability to communicate complex technical topics clearly and work collaboratively with both technical and non-technical peers.
• Strong technical fundamentals and a passion for learning and development.
• Deep knowledge of at least one programming language (e.g., Python, Ruby, Java, Go).

Benefits

Fin offers a comprehensive benefits package designed to support employees' health, wellbeing, family needs, work-life balance, and financial future.

Location

This is a hybrid role requiring employees to be in the office at least three days a week. The role is based in the United Kingdom.

How to Apply

Please visit fin.ai/careers to learn more about working at Fin and to submit your application.