AI Infrastructure Engineer

Salary: £62,000 - 102,000 per year

Requirements:

• Were looking to hire Senior+ AI Infrastructure Engineers.
• Were likely a great fit if you have 5+ years of experience in software engineering, with a strong track record of shipping high-quality products or platforms.
• We prefer a degree in Computer Science, Computer Engineering, or a related field, or equivalent experience with very strong fundamentals.
• You should have hands-on experience with one or more of the following: model training, especially transformers and LLMs; model inference at scale, especially transformers and LLMs; low-level GPU work such as writing CUDA or Triton kernels.
• You should be comfortable working in production environments at meaningful scale, including traffic, data, or organizational scale.
• You should communicate clearly, explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non-engineers.
• You should take pride in strong technical fundamentals, love learning, and be willing to invest in your own development.
• You should have deep knowledge of at least one programming language, such as Python, Ruby, Java, or Go.
• Bonus skills include experience at AI-native companies that train and/or run inference for their own models, experience running training or inference workloads on Kubernetes, experience with AWS or other major cloud providers, production experience with Python in ML or infrastructure contexts, and demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings.

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 our customers, including autoscaling, routing, and fallbacks.
• Work on GPU-level performance by tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
• Collaborate closely with ML scientists to implement cutting-edge training and inference methods and bring them to production.
• Play an active role in hiring, mentoring, and developing other engineers on the team.
• Raise the bar for technical standards, reliability, and operational excellence across our AI platform.

Technologies:

• AI
• AWS
• Claude Code
• Cloud
• CUDA
• Support
• Java
• Kubernetes
• LLM
• Model Training
• Python
• Ruby
• Apex
• DevOps
• LESS
• Windows

More:

We are Fin, the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is a high-performing AI Customer Agent that helps businesses deliver always-on customer support across the customer journey, from service to sales to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel with minimal setup and integration, and can be combined with our natively integrated Intercom help desk for one system designed to meet the needs of modern support teams. Founded in 2011, we have grown into one of the fastest growing companies and one of the largest private software companies in the world, with nearly 30,000 global businesses using our products. We offer competitive salary and equity, weekday lunch, snacks, a fully stocked kitchen, regular compensation reviews, unlimited access to Claude Code and best-in-class AI tools, pension match up to 4%, life assurance, comprehensive health and dental insurance, flexible paid time off, paid maternity leave, 6 weeks paternity leave, Cycle-to-Work support, secure bike storage, and MacBooks as standard. We work on a hybrid basis and expect employees in the office at least three days per week. We value a radically open and accepting culture, diversity, and Equal Employment Opportunity.

last updated 35 week of 2026