채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Flexible Hours
필수 스킬
Python
Technical training
Customer enablement
AI/ML
Communication
ABOUT THE ROLE:
We're looking for a Customer Engineer to join our Enterprise Enablement team. In this role, you will serve as a trusted technical advisor to our new customers, blending technical expertise with a passion for education and enablement. You will be instrumental in accelerating developer and enterprise success with the Lang Chain ecosystem.
You'll join a collaborative team environment with a strong engineering culture, with direct impact on customer success and the opportunity to shape best practices while working with cutting-edge AI technology.
ABOUT US:
At Lang Chain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, Lang Chain, Lang Graph, Lang Smith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust Lang Chain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. Lang Chain is a place where your contributions can shape how this technology shows up in the real world.
WHAT YOU'LL DO:
-
Lead onboarding engagements for new enterprise customers, guiding them through initial setup and unblocking issues as they begin building on the Lang Smith platform
-
Create and deliver live, interactive training workshops to help customer teams build foundational product knowledge and agent engineering best practices
-
Develop scalable enablement frameworks including technical tutorials, best-practice guides, and reference implementations
-
Act as the voice of the new user, synthesizing feedback and identifying friction points to inform the product roadmap in collaboration with Product and Engineering teams
-
Partner with Sales, Deployed Engineering, and Professional Services to define enablement strategies for prospective customers, demonstrating the value and ease of getting started with Lang Chain
-
Stay at the forefront of agent engineering in industry to identify evolving trends and quickly incorporate learnings into customer enablement materials
WHAT WE'RE LOOKING FOR:
-
5+ years of experience in a technical, customer-facing role such as Enablement, Customer Success Engineer, Developer Advocate, or similar
-
Proven software engineering experience with 2+ years focused on AI/ML applications or agents, including strong proficiency in Python and a deep, practical understanding of the modern AI/LLM stack
-
Passion for educating users on technical topics and deep empathy for the developer experience
-
Demonstrated ability to create and deliver high-quality technical training programs, including live workshops, written tutorials, documentation, and video guides
-
Exceptional presentation and communication skills, with the ability to explain complex technical concepts to diverse audiences, from individual developers to enterprise stakeholders
-
Capacity to operate independently in a fast-paced, ambiguous environment and manage multiple projects simultaneously
-
Ability and willingness to travel up to 20% of time for customer engagements
Preferred:
-
Hands-on experience building and deploying applications using Lang Chain, Lang Graph, and Lang Smith (or similar frameworks)
-
Proficiency with TypeScript/Java
Script in addition to Python:
Location: London or Amsterdam preferred. Open to remote candidates within the UK and Netherlands.
Compensation:
-
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
-
Competitive salary based on location and experience
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
비슷한 채용공고
LangChain 소개

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
직원 수
San Francisco
본사 위치
$200M
기업 가치
리뷰
3.4
3개 리뷰
워라밸
2.5
보상
3.0
문화
2.8
커리어
3.2
경영진
2.3
35%
친구에게 추천
장점
Working with cutting-edge AI technologies like LangChain and RAG
Hands-on experience building end-to-end AI projects
Exposure to modern applied AI development
단점
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
연봉 정보
13개 데이터
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1개 리포트
$178,619
총 연봉
기본급
$155,147
주식
-
보너스
-
$178,619
$178,619
면접 경험
10개 면접
난이도
2.7
/ 5
소요 기간
14-28주
합격률
60%
경험
긍정 50%
보통 40%
부정 10%
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
자주 나오는 질문
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
뉴스 & 버즈
LangChain, Langflow, LiteLLM: When AI’s Foundation Code Becomes the Attack Surface - Security Boulevard
Security Boulevard
News
·
1w ago
DataCamp and LangChain Partner to Launch AI Engineering Learning Track - Business Wire
Business Wire
News
·
3w ago
Finally made it ugghhhh
https://preview.redd.it/61yq8yyinnrg1.png?width=462&format=png&auto=webp&s=1f821e417ef14ac8d60ecd0714297886a81586fa Hey I am 3rd year CS undergrad from Lower NIT, I started out my journey seriously in 2nd year by learning MERN nd stuff did an internship at the end of 4th sem (which was unpaind and work from home). During summer vacation I realised this web dev stuff is not for me and switched to learning ML nd boy I loved this domain (maybe since I sucked at web dev i was under pres
·
3w ago
·
19
·
23
LangChain Releases Comprehensive Agent Evaluation Checklist for AI Developers - mexc.com
mexc.com
News
·
3w ago



