We’re seeking a Customer Success Engineer who is passionate about helping customers achieve success with cutting-edge AI infrastructure. You’ll act as a trusted technical advisor to our users, ensuring smooth onboarding, ongoing support, and optimal product usage. You’ll work across product, engineering, and support to represent the voice of the customer and help shape a delightful developer experience.
I. 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 clear, actionable knowledge for both internal teams and external users
- Create and maintain documentation, tutorials, and sample projects
- Provide technical support via Slack, email, and meetings, helping users troubleshoot and resolve issues quickly
- Collaborate with engineering to debug production issues and prioritize fixes
- Help users architect scalable and efficient deployments using Friendli.AI
- Lead customer-facing technical sessions, demos, and Q&As
II. Job Qualifications
Must have:
- 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, cloud infrastructure, or AI tooling
- Excellent written and verbal communication skills
- 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
Nice to have:
- 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
II. Why We’ll Love Working Here
1. Workplace
- Join a vibrant, young and dynamic team working on cutting-edge projects & emerging technologies.
- Collaborate with global experts & top tech talent to enhance your skills.
- Thrive in a culture of openness, forward-thinking and innovation-driven team while encouraging your full potential.
2. Benefits Comprise
- Competitive salary, 13th month salary and attractive performance bonuses.
- Flexible hybrid working model between working at office and working at home (WFH 2 days per week)
- Premium Healthcare and Accident insurance.
- Annual health check package.
- Free parking and allowances: Lunch, Marriage, Newborn baby, Bereavement and others applied.
- A spacious pantry that is fully equipped with coffee maker, fridge, microwave and more for your most comfortable lunch time.
- A wide range of sport and social activities: Yoga, Football, Badminton, Tech clubs, etc.
- Annual company trip and teambuilding.
- Chance to be honored quarterly and annually with recognition awards for individuals, teams, long-term service, etc.
- Advanced English and appropriate soft skills training to assist your career development.
- Engaging monthly events: Happy Gathering, Mini Game, Team Birthday Celebrations, Company’s Year-end party, etc.
- Exclusive company supporting funds to ease your personal loans of Home, Vehicle, Tuition, etc.
IV. Additional information
- Location: QTSC 1 Building, Quang Trung Software City, Trung My Tay Ward (District 12), Ho Chi Minh City
- Working Time: 8:30 AM – 6:00 PM from Monday to Friday (Lunch break between 12:00 PM to 1:30 PM)
Gentle notice to our candidate about Decree No.13/2023/NĐ-CP
According to Decree No.13/2023/NĐ-CP on protecting personal data, LARION would apply “Personal Data Processing Agreement” with all candidates to ensure compliance with the decree.
By submitting this application to LARION, you agree to allow LARION to proceed your provided information in accordance with “Personal Data Processing Agreement” that you have read, fully understood and agreed to the entire content at link https://larion.com/privacy-policy/