Customer Success Engineer (contract based)
- Level
- Mid
- Work type
- On-site · Seoul
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
About the role
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.
FriendliAI's standard text
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.
What this role asks for
Particular to this role
LangChain
Rare in FriendliAI's other 18 open postings.
In most of FriendliAI's ads
Generative AI · Hugging Face · Python
Named in most of its open postings, whatever the role.
81% of this description is written for the role. The rest is FriendliAI's standard text, folded away below.
Compared with FriendliAI's other open jobs.
The team: Applied Engineering
This role is one of 4 open in Applied Engineering.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Generative AI (4 of 4), Hugging Face (4 of 4), LLM (4 of 4), Python (4 of 4), Kubernetes (3 of 4), LangChain (3 of 4)
OTHER ROLES ON THIS TEAM
- Software Engineer – Python Developer Tools posted Apr 29
- Software Engineer – AI Agents posted Apr 15
- Software Engineer – AI Agents posted Mar 24
From the team and dates on FriendliAI's own job board.
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