Intercom is an AI Customer Agent company on a mission to help businesses provide perfect customer experiences. They are seeking Senior+ AI Infrastructure Engineers to build systems that train and serve their next generation of AI products, focusing on model training and inference services for their AI Agent, Fin.
Responsibilities:
- 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