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Fin

AI Infrastructure Engineer

Fin · Dublin, Ireland

Posted about 3 months ago

or apply directly on Fin's site. We never take the application ourselves.

Is this posting real?

This role has been open
82 days
Fin's roles stay open a median of 82 days
Reposted
No
Salary listed
No
28% of Fin's roles list one
Ghost-job risk at Fin
high
130 stale, 0 reposted of 130 open
Hiring momentum
162 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-24

Measured from postings appearing on and disappearing from Fin's own greenhouse board since 2026-08-03. Full hiring picture for Fin.

About this role

As a Senior AI Infrastructure Engineer at Fin, you will focus on building and optimizing systems for training and serving AI models, particularly in model training and inference. Your responsibilities will include implementing training pipelines for large models, optimizing inference services for low-latency performance, and collaborating with ML scientists. You will also play a role in mentoring team members and raising technical standards across the AI platform.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Fin as an employer.

What you need

  • 5+ years of experience in software engineering
  • Strong track record of shipping high-quality products or platforms
  • Degree in Computer Science, Computer Engineering, or related field (or equivalent experience)
  • Hands-on experience with model training (especially transformers and LLMs)
  • Experience with model inference at scale (especially transformers and LLMs)
  • Low-level GPU work experience, such as writing CUDA or Triton kernels

Nice to have

  • 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
  • Demonstrated passion for technology through personal projects, open source, meetups, or publishing content

Worth weighing

  • No specific salary or compensation details provided
  • Hybrid working policy requires in-office presence at least three days per week
  • The role may involve working closely with both technical and non-technical team members, requiring strong communication skills

Summarised from Fin's posting. Read the full original.

Listed by Fin on their greenhouse job board, last confirmed open on 2026-10-24. PitchMeAI is not the employer.

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