FriendliAI is an AI inference platform that optimizes and manages LLM production, accelerating inference, reducing infrastructure footprint, supporting 430,000+ Hugging Face models and API access to EXAONE 4.0.
ABOUT THE JOB FriendliAI is seeking a Customer Success Engineer to act as the technical liaison between our customers and the engineering team behind our large-scale AI inference platform. You’ll help developers and enterprises deploy, scale, and optimize generative and agentic AI workloads running on FriendliAI infrastructure. In this role, you will act as a trusted technical advisor to our users, ensuring smooth onboarding, ongoing support, and optimal product usage. You will collaborate across product, engineering, and support teams to represent the customer's voice and help shape a delightful developer experience. [Note] This is a 6-month contract position, and contract extension may be discussed based on performance during the employment period. KEY RESPONSIBILITIES - Guide new users through onboarding, setup, and best practices - Document technical learnings, common patterns, and solutions derived from real customer interactions - Transform lessons learned into precise, actionable knowledge for both internal teams and external users - Create and maintain documentation, tutorials, and sample projects - Provide technical support via Instant messages, Slack, email, and meetings, helping users troubleshoot and resolve issues quickly - Collaborate with engineering to debug production issues and prioritize fixes - Lead customer-facing technical sessions, demos, and Q&As QUALIFICATIONS - 2+ years in a developer-facing or technical support role (Customer Success, Solutions Engineering, etc.) - Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent - Strong technical background in backend systems or AI tooling - Excellent written and verbal communication skills (both Korean and English) - Proficient in Python and familiar with LLM ecosystems (e.g., Hugging Face, LangChain) - Experience working with APIs, CLI tools, and deployment workflows - Ability to explain complex technical concepts clearly and concisely PREFERRED EXPERIENCE - Strong technical writing skills with experience authoring user-facing or internal technical content - Experience writing developer documentation or educational content - Prior experience working with enterprise customers or managing technical escalations - Contributions to developer communities or open source - Familiarity with model serving platforms and inference workflows - Hands-on experience building with agentic or autonomous AI frameworks BENEFITS - Flexible working hours - Daily lunch and dinner provided; unlimited snacks and beverages - Supportive and highly collaborative work environment - Health check-up support and top-tier equipment/hardware support - A front-row seat to the generative AI infrastructure revolution - Competitive compensation, startup equity, health insurance, and other benefits. ABOUT FRIENDLIAI FriendliAI is building the world’s best AI inference platform that makes large language and multi-modal models fast, efficient, and deployable at scale. We power high-throughput, low-latency AI workloads for organizations worldwide and integrate directly with Hugging Face, giving developers instant access to over 500,000 open-source models. We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference engine, we are building a platform that the AI industry can actually rely on.