AI Infrastructure Engineer

Meyandy LLC; Berlin; Vor Ort; EUR 110.000 - 170.000; Vollzeit

Zusammenfassung

Fin is seeking Senior+ AI Infrastructure Engineers to advance training and inference pipelines for our next-generation AI products. You will work on scalable GPU‑level code and collaborate with ML scientists to push the performance of transformer models in production.

You’ll join a small, highly technical team in Berlin, contributing to training pipelines, distributed training, and low‑latency inference services, while mentoring peers and helping raise technical standards.

Qualifikationen

• 5+ years of software engineering experience.
• Degree in Computer Science, Computer Engineering, or a related field (or equivalent experience).
• Hands-on experience with model training, inference, or low-level GPU coding (CUDA, Triton).

Aufgaben

• Implement and scale training pipelines for transformer/LLM models.
• Build and optimize low-latency inference services.
• Tune GPU kernels and improve utilization across training and inference stacks.
• Collaborate with ML scientists to implement cutting edge methods.
• Participate in hiring, mentoring, and developing other engineers.
• Raise technical standards, reliability, and operational excellence.

Kenntnisse

Model training

Model inference

GPU coding

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

CUDA

Triton

Jobbeschreibung

Fin is the AI Customer Agent company 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 for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.

What's the opportunity?

We’re looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Fin's next generation of AI products.

Fin is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month.

You’ll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI.

We’re particularly interested in engineers who have:

• A track record of working on model training or model inference at scale, or on low‑level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.

What will I be doing?

As a Senior AI Infrastructure Engineer focused on model training and inference, you will:

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

Profile we’re looking for:

These are indicative, not hard requirements

We’re looking to hire Senior+ AI Infrastructure Engineers. You’re likely a great fit if:

• 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 AI Infrastructure Engineer — intercom, Berlin.