招聘
About Lang Chain:
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.
About the role
Location: Sydney, Australia
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Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps
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Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more
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Give technical demos the entire suite of Lang Chain's products
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Lead trainings and workshops on best practices, targeted at developer audiences
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Collaborate closely with the enterprise sales team to win deals
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Collaborate closely with engineering, helping translate customer insights and feedback into product improvements
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Lead internally- and externally-facing, special projects that dogfood our new products
How to be successful in this role
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Engineers who love working with customers or are aspiring future founders
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Deployed engineers / solution architects who have experience in the role at developer focused companies.
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You have an engineering background and enjoy being a trusted partner to companies
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You like to find a way to “make it work”. Bent towards action and service orientation.
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You enjoy keeping up to date on the latest industry techniques
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You’re comfortable presenting best practices to bigger teams
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Bonus if familiar with Lang Chain or building with LLMs
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Can thrive in a fast moving environment. Views unstructured environments as an opportunity to figure out the most impactful work and define the future success of the company. Startup experience is a bonus.
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Ownership minded
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Minimum experience of 3+ years in a similar technical role: software engineering, customer engineering
Compensation & Benefits:
- 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.
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关于LangChain

LangChain
Series BA platform that provides open-source frameworks and tools for engineering and deploying language model agents.
51-200
员工数
San Francisco
总部位置
$200M
企业估值
评价
3.4
3条评价
工作生活平衡
2.5
薪酬
3.0
企业文化
2.8
职业发展
3.2
管理层
2.3
35%
推荐给朋友
优点
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
缺点
Uncertainty about long-term career prospects and employability
Projects rarely make it to production use
Lack of senior developer mentorship and guidance
薪资范围
13个数据点
Mid/L4
Senior/L5
Mid/L4 · Product Designer
1份报告
$178,619
年薪总额
基本工资
$155,147
股票
-
奖金
-
$178,619
$178,619
面试经验
10次面试
难度
2.7
/ 5
时长
14-28周
录用率
60%
体验
正面 50%
中性 40%
负面 10%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Assessment/Take-home
4
Technical Interview
5
Virtual Onsite/Final Round
6
Offer
常见问题
System Design
Machine Learning/AI Knowledge
Coding/Algorithm
Technical Architecture
Behavioral/STAR
新闻动态
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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
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