AI Infrastructure Engineer
Hybrid · London, England, United Kingdom or Dublin, Leinster, Ireland
Job Summary
Senior+ AI Infrastructure Engineer focused on building and scaling training pipelines for large transformer and LLM models and deploying low-latency, reliable inference services. You’ll work on GPU-level performance tuning, distributed training, and productionizing training/inference methods with ML scientists, while mentoring teammates and helping raise engineering standards across Fin's AI platform. The role emphasizes hands-on experience with model training/inference at scale, low-level GPU work (CUDA/Triton), production environments at meaningful scale, and strong fundamentals in programming languages such as Python, Ruby, Java, and Go. Fin supports a hybrid work policy with 3+ days in the office per week (Dublin or London offices listed in locations), and offers competitive salary/equity, comprehensive benefits, and access to AI tools.
Required Qualifications
- 5+ years software engineering experience
- degree in Computer Science or Computer Engineering or related field (or equivalent)
- hands-on experience with model training or model inference at scale or low-level GPU work (CUDA/Triton)
- production-scale experience
- strong programming fundamentals (Python, Ruby, Java, Go)
- clear communication and collaboration skills
- ability to learn new stacks quickly
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