AI Infrastructure Engineer

intercom· 27 open roles

London, England On-siteFull-time1 months ago

Salary

Undisclosed

Experience

Mid

Job Type

Full-time

Posted

1 months ago

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About This RoleAI processing…

Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.

Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.

Key Responsibilities

1
Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation.
2
Build and optimize inference services that deliver low‑latency, high‑reliability experiences for our customers, including autoscaling, routing, and fallbacks.
3
Work on GPU‑level performance : tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack.
4
Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production.
5
Play an active role in hiring, mentoring, and developing other engineers on the team.
6
Raise the bar for technical standards, reliability, and operational excellence across Fin's AI platform.

Requirements

You have 5+ years of experience in software engineering , with a strong track record of shipping high‑quality products or platforms.
You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals).
You have hands‑on experience with one or more of the following:
Model training (especially transformers and LLMs).
Model inference at scale (again, especially transformers and LLMs).
Low‑level GPU work , such as writing CUDA or Triton kernels.
Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).
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 about your work and learnings

Perks & Benefits

Bonus skills & attributes None of these are required, but they’re nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI‑native product companies).

Certain roles may be eligible for incentive compensation, equity, and benefits.

Learn more about working at Fin and the benefits we offer at fin.ai/careers .

We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.