FriendliAI

Forward Deployed Engineer - AI Inference

San FranciscoPosted 1 month agofulltime
Apply on FriendliAI's career page

CV for this role

Rewrite your CV for what FriendliAI asks for

This job is free to read. A CV tailored to it comes with Weekly and Monthly.

Tailor my CV

Pay comparison

Market pay for software developers in United States

25th percentileMedian75th percentile

Per year, across all employers in this occupation. This figure is not from FriendliAI.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2025.

Job description preview

From FriendliAI’s original posting

About the job FriendliAI is seeking a Forward Deployed Engineer to assist enterprises in deploying, scaling, and operating generative and agentic AI workloads on FriendliAI infrastructure. You will work directly with customers to solve and implement production-grade applications using our products, such as Serverless Endpoints, Dedicated Endpoints, or Container. Friendli Container is our service that allows customers to download our inference engine as Docker images and deploy it in their chosen environment, such as private clouds or on-premises. Our Friendli Container can be adopted directly to AWS EKS clusters using our EKS add-on product. You will work directly on our customers’ projects, collaborating with their engineering teams to solve AI inference challenges like scaling, orchestration, and monitoring. This is a hands-on, customer-embedded role. If you have worked in DevOps, platform engineering, or SRE for AI applications, this is your ideal position. Key Responsibilities - Design and implement large-scale deployment architectures for LLM and multimodal inference - Deploy and manage containerized workloads across Kubernetes clusters - Diagnose production issues, such as…

Open full posting on FriendliAI’s site

Similar roles on Seoulstart

Browse all Global jobs