About the role
About Us
At LangChain, 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.
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. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, 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, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain 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. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role
Location: Sydney, Australia
Work closely with companies on the frontier of LLM-applications, bringing ideas to production-ready apps
Collaborate on a wide variety of LLM-apps from concierge search, codegen, agentic co-pilots and more
Give technical demos the entire suite of LangChain's products
Lead trainings and workshops on best practices, targeted at developer audiences
Collaborate closely with the enterprise sales team to win deals
Collaborate closely with engineering, helping translate customer insights and feedback into product improvements
Lead internally- and externally-facing, special projects that dogfood our new products
How to be successful in this role
Engineers who love working with customers or are aspiring future founders
Deployed engineers / solution architects who have experience in the role at developer focused companies.
You have an engineering background and enjoy being a trusted partner to companies
You like to find a way to “make it work”. Bent towards action and service orientation.
You enjoy keeping up to date on the latest industry techniques
You’re comfortable presenting best practices to bigger teams
Bonus if familiar with LangChain or building with LLMs
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.
Ownership minded
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.
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. 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.
Benefits
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Aplyr's read
LangChain empowers developers to harness language models for intelligent applications, attracting tech-savvy professionals eager to innovate in AI-driven software development.
What's promising
- •LangChain's focus on language models positions it at the forefront of AI-driven software innovation.
- •The company offers diverse roles, indicating growth and a wide range of opportunities.
- •LangChain's tools enable developers to create sophisticated, interactive applications.
What to watch
- •Limited public information about LangChain's long-term financial stability.
- •The niche focus on language models may limit broader market appeal.
- •High competition in AI software development could challenge LangChain's market position.
Why LangChain
- •LangChain specializes in frameworks for language model applications, a distinct niche in AI.
- •The company provides tools specifically for enhancing application interactivity and intelligence.
- •LangChain's roles span globally, reflecting a commitment to international expansion.
Aplyr’s read is generated by AI from public sources. Was it useful?
About LangChain
LangChain is a framework designed for developing applications powered by language models. It provides tools for building applications that can understand and generate human-like text, enabling developers to create more interactive and intelligent applications.
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