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FriendliAI

Customer Success Engineer (contract based)

Seoul

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hirly's read of this role

Role family
Customer support
Seniority
Mid level
Country
KR
Work mode
On-site / unstated
First seen by hirly
10 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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 600,000 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.

Original posting on FriendliAI's site ↗

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