Customer Success Engineer

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. 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

• 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

• 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

• 서류 전형 → 1 차 인터뷰 → 2차 인터뷰(CTO) → 3차 인터뷰(CEO) → 최종 합격

• 근무 형태: 계약직(6개월, 연장 가능)
• 근무 환경: 유연한 원격 근무 및 필요시 오피스 출근을 병행하는 하이브리드 근무