Fin17.04.2026
AI Infrastructure Engineer
Dublin
Обязанности
- 01Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation
- 02Build and optimize inference services that deliver low-latency, high-reliability experiences for customers, including autoscaling, routing, and fallbacks
- 03Work on GPU-level performance: tuning kernels, improving utilization, and identifying bottlenecks across training and inference stack
- 04Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production
- 05Play an active role in hiring, mentoring, and developing other engineers on the team
- 06Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform
Требования
- 015+ years of experience in software engineering, with a strong track record of shipping high-quality products or platforms
- 02Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience with very strong fundamentals)
- 03Hands-on experience with one or more of: 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
- 04Comfortable working in production environments at meaningful scale (traffic, data, or organizational)
- 05Communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non-engineers
- 06Take pride in strong technical fundamentals, love learning, and are willing to invest in your own development
- 07Deep knowledge of at least one programming language (e.g., Python, Ruby, Java, Go)
Условия
- 01Competitive salary and equity in a fast-growing start-up
- 02Lunch served every weekday, plus variety of snack foods and fully stocked kitchen
- 03Regular compensation reviews
- 04Unlimited access to Claude Code and best-in-class AI tools
- 05Pension scheme & match up to 4%
- 06Life assurance, comprehensive health and dental insurance for you and your dependents
- 07Flexible paid time off policy
- 08Paid maternity leave, 6 weeks paternity leave for fathers
- 09Cycle-to-Work Scheme, secure bike storage
- 10MacBooks are standard (Windows for certain roles when needed)
- 11Hybrid working policy: in office at least three days per week