A growth-stage platform enabling organizations to run generative AI with maximum speed and efficiency.
AI Field Engineer - Enterprise
Enterprise teams often stall when trying to move powerful language models from experimental notebooks into production-grade systems that actually perform. You will bridge this gap by architecting custom deployments on major cloud infrastructure, ensuring low-latency inference for critical applications in finance and healthcare. This position demands deep technical fluency to troubleshoot complex containerized environments while translating business constraints into robust engineering solutions.
What they're looking for
- 3+ years of experience deploying machine learning models using Python and Kubernetes across AWS, Azure, or GCP.
- Proven track record solving intricate infrastructure challenges for enterprise clients in highly regulated industries.
- Ability to diagnose performance bottlenecks in distributed systems and optimize GPU utilization for large-scale inference.
- Strong communication skills capable of explaining technical trade-offs to both C-level executives and engineering teams.