Senior AI Infrastructure Engineer: Training & Inference at Scale

Fin. The highest performing Customer Agent; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary and equity

Lunch and snacks every weekday

Pension scheme & match

Job summary

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. We are hiring Senior+ AI Infrastructure Engineers to build training and serving systems for Fin’s AI products, spanning from GPU‑level code to large transformer model pipelines.

You’ll work in a small, highly technical team, contributing to production‑level AI infrastructure and mentoring peers. You will join a company that trains and serves its own models, integrates with our help desk,

Qualifications

• 5+ years of software engineering experience with shipping high‑quality products or platforms.
• Degree in Computer Science, Computer Engineering, or related field (or equivalent experience).
• Hands‑on experience with model training or model inference at scale, or low‑level GPU work (CUDA/Triton).

Responsibilities

• Implement and scale training pipelines for large transformer and LLM models.
• Build and optimize inference services with low latency and high reliability.
• Tune kernels and improve GPU utilization across the training and inference stack.
• Collaborate with ML scientists to implement cutting edge training and inference methods.
• Mentor and develop other engineers on the team; raise technical standards and reliability.

Skills

Model training

Model inference

GPU programming

Python

Education

Bachelor's degree in CS/CE or equivalent

Tools

CUDA

Triton

Kubernetes

AWS

Job description

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. We are hiring Senior+ AI Infrastructure Engineers to build training and serving systems for Fin’s AI products, spanning from GPU‑level code to large transformer model pipelines.

You’ll work in a small, highly technical team, contributing to production‑level AI infrastructure and mentoring peers. You will join a company that trains and serves its own models, integrates with our help desk,