AI Infrastructure Engineer @Fin

Overview

Fin is an AI Customer Agent company focused on enhancing customer experiences through advanced AI solutions. They are seeking Senior+ AI Infrastructure Engineers to develop systems for the next generation of AI products.

Key Responsibilities

• Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing to distributed training and evaluation.
• Build and optimize inference services, ensuring low-latency and high-reliability experiences for customers.
• Enhance GPU-level performance by tuning kernels and identifying bottlenecks in the training and inference stack.
• Collaborate with ML scientists to bring cutting-edge training and inference methods to production.
• Mentor and develop other engineers within the team.
• Elevate technical standards and operational excellence across Fin's AI platform.

Requirements

• 5+ years of experience in software engineering with a proven track record of delivering high-quality products.
• Degree in Computer Science, Computer Engineering, or related field, or equivalent experience with strong fundamentals.
• Hands-on experience with model training and inference, especially transformers and LLMs.
• Proficient in low-level GPU work, including CUDA or Triton.
• Experience in production environments dealing with significant scale.
• Strong communication skills and ability to collaborate with diverse teams.
• Deep knowledge of at least one programming language (e.g., Python, Ruby, Java, Go).

Benefits

Fin offers various benefits tailored to support health, wellbeing, family, time away from work, and financial future. Specific offerings may vary by location.

Location

This position is remote with a hybrid work policy, requiring at least three days in the office per week in Ireland.

How to Apply

For more information and to apply, visit fin.ai/careers.