Senior AI Infrastructure Engineer, Training & Inference

Fin. The highest performing Customer Agent; Dublin; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and equity

Lunch provided weekdays

Health and dental insurance

Pension scheme & match

Cycle-to-Work

MacBooks provided

Flexible paid time off

Job summary

Fin, the AI Customer Agent company, is hiring Senior+ AI Infrastructure Engineers to build training and serving systems for Fin's AI products. You will join a small, highly technical team working at the cutting edge of modern AI infrastructure, focusing on model training and inference at scale.

You will implement scalable training pipelines, build low-latency inference services, tune GPU performance, collaborate with ML scientists, and contribute to hiring and mentoring.

Qualifications

• 5+ years of software engineering experience shipping high-quality products.
• Degree in Computer Science, Computer Engineering, or a related field.
• Experience with model training or model inference at scale.
• Experience with low-level GPU work such as CUDA or Triton.
• Comfortable delivering production systems at meaningful scale.
• Strong fundamentals, ability to learn quickly, and clear communication.
• Proficiency in at least one programming language (e.g., Python, Java, Go).

Responsibilities

• Implement and scale training pipelines for large transformer and LLM models.
• Build and optimize inference services with low latency and high reliability.
• Work on GPU-level performance tuning and bottleneck identification across training and inference stacks.
• Collaborate with ML scientists to implement cutting-edge training and inference methods.
• Play an active role in hiring, mentoring, and developing other engineers.
• Raise the bar for technical standards, reliability, and operational excellence.

Skills

Model training

Model inference at scale

Low‑level GPU coding

Education

Degree in CS/CE or equivalent

Tools

CUDA

Triton

Job description

Fin, the AI Customer Agent company, is hiring Senior+ AI Infrastructure Engineers to build training and serving systems for Fin's AI products. You will join a small, highly technical team working at the cutting edge of modern AI infrastructure, focusing on model training and inference at scale.

You will implement scalable training pipelines, build low-latency inference services, tune GPU performance, collaborate with ML scientists, and contribute to hiring and mentoring.