解决方案工程师（芝加哥）
Solutions Engineer (Chicago)
关于公司
在LangChain，我们的使命是让智能代理无处不在。我们构建现实世界中代理工程的基础，帮助开发者从原型过渡到可信赖的生产就绪AI代理。我们最初是广泛采用的开源工具，现已发展为一个平台，用于构建、评估、部署和大规模运行代理。
在IVP、Sequoia、Benchmark、CapitalG和Sapphire Ventures的B轮融资中筹集了1.25亿美元，我们正处于持续开发新产品、增长加速的阶段，所有团队成员都能对我们的产品和协作方式产生重要影响。LangChain是一个你可以塑造这项技术如何在现实世界中呈现的地方。
如今，我们的平台包括LangSmith（可观测性、评估、部署、舰队和沙盒）、我们的开源框架（LangChain、LangGraph和Deep Agents），以及新推出的LangSmith Engine用于自主代理改进。我们有超过1亿次每月的开源下载量，6000多家活跃的LangSmith客户，以及5家财富100强企业使用LangSmith进行生产（占财富500强企业的35%），包括Klarna、Clay、Coinbase、Workday、Lyft、Cloudflare、Harvey、Rippling、Vanta、LinkedIn、Monday.com、Nvidia和Bridgewater的团队。
关于团队
已部署工程团队是我们市场进入策略的技术前线。我们从第一次技术对话开始就与客户经理合作，帮助公司评估LangChain，在他们最困难的用例上验证它，并确保代理在大规模下可靠运行。
这是一个亲力亲为、高度技术性的团队。解决方案工程师负责技术胜利：确定评估范围，设计反映真实工作负载的POC，回答决定交易的深入架构问题，并在签约后继续与客户合作，确保我们销售的产品确实交付。
我们处于工程、产品和销售的交汇点。我们在现场学到的内容既影响客户如何采用LangChain，也影响我们接下来要构建的内容。
关于职位
你将面对应用AI中最困难的问题，在客户面前，按时间表推进。不是演示，也不是研究：是真正被团队依赖的系统。反馈循环迅速，影响可以通过成交订单和实际部署来衡量，工作直接塑造了现实世界中AI代理的构建方式。
你将负责
- 负责技术胜利
查看英文原文
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 THE TEAM
The Deployed Engineering team is the technical front line of our go-to-market motion. We partner with account executives from the first technical conversation through production rollout, helping companies evaluate LangChain, prove it out on their hardest use case, and get agents running reliably at scale.
This is a hands-on, highly technical team. Solutions Engineers own the technical win: scoping evaluations, designing POCs that mirror real workloads, answering the deep architecture questions that decide a deal, and staying with the customer after signature to make sure what we sold actually ships.
We sit at the intersection of engineering, product, and sales. What we learn in the field shapes both how customers adopt LangChain and what we build next.
ABOUT THE ROLE
You will work on some of the hardest problems in applied AI, in front of customers, on a clock. Not demos, not research: systems real teams depend on in production. The feedback loop is fast, the impact is measurable in closed deals and live deployments, and the work directly shapes how AI agents get built in the real world.
WHAT YOU'LL DO
- Own the technical win. Partner with AEs to scope evaluations, run technical discovery, and design POCs that map to the customer's real use case rather than a canned demo
- Be the technical authority in the room during architecture reviews, security and infrastructure questions, and head-to-head evaluations
- Co-architect and co-build production AI agents with customer engineering teams, from prototype through rollout
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Run demos, trainings, and workshops for developer audiences, from single-team sessions to larger technical enablement
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions, and find the expansion opportunities that come out of those conversations
- Surface field feedback to product and build reusable POC assets, cookbooks, and example code that scale across accounts
- Contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU'LL BRING
- 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering, ideally at a startup or scale-up
- Comfort owning the technical thread in a sales cycle: discovery, POCs, architecture reviews, and competitive evaluations
- Ability to explain technical tradeoffs clearly and build trust with developer audiences, then translate that into a decision the customer is ready to make
- A track record of taking responsibility for outcomes, not just recommendations
- A bias toward action and a willingness to figure things out as you go
- Genuine interest in operating AI agents in production, not just building demos
NICE TO HAVES
- You've deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Experience carrying a technical number or working against pipeline alongside a sales team
- Experience with LLM evaluation, observability, or guardrails
- Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
COMPENSATION
Annual OTE range: $200,000–$250,000 USD
Looking for a hands-on implementation role focused on custom delivery, bespoke integrations, and scoped consulting projects? Please check out the Deployed Engineer (Professional Services) roles.
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.