Deployed Engineer (Strategic)

Posted 8 Days Ago
Be an Early Applicant
2 Locations
In-Office
160K-200K
Senior level
Information Technology • Software • Database
The Role
As a Deployed Engineer (Strategic), you will co-build AI agents with customers, lead technical design sessions, and inform product improvements based on feedback.
Summary Generated by Built In

About LangChain:

At LangChain, our mission is to make intelligent agents ubiquitous. We provide the agent engineering platform and open source frameworks developers need to ship reliable agents fast.

Our open source frameworks, LangChain and LangGraph, see over 90+ million downloads per month and help developers build agents with speed and granular control. LangSmith offers observability, evaluation, and deployment for rapid iteration, enabling teams to transform LLM systems into dependable production experiences.

LangChain is trusted by millions of developers worldwide and powers AI teams at companies like Replit, Clay, Cloudflare, Harvey, Rippling, Vanta, Workday, and more.

About the role:

We are hiring for a Deployed Engineer (Strategic) to build sophisticated AI agents with our customers to solve real world problems at the edge of AI capabilities. On a daily basis, you will work directly alongside customer teams co-owning the agent development process from prototypes to production. You will also be our tip-of-the-spear contributing learnings from the real world implementations back to the LangChain product and engineering teams.

Key Responsibilities:

  • Partner directly with enterprise customers to co-architect and co-build next-generation AI agents and applications, working shoulder-to-shoulder from design and architecture through production deployment.

  • Lead technical design sessions to scope, align on implementation approach and ensure customers adopt sound architectural choices for performance and reliability.

  • Partner with sales and pre-sales engineering to define implementation strategies for customers, accelerating the value customers can derive from our platform.

  • Synthesize customer feedback and identify friction points to inform the product roadmap, collaborating with product and engineering teams to improve the user experience.

  • Stay current on emerging AI trends and translate them into actionable solutions and technical guidance as applicable to customers.

What We're Looking For:

  • 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, your welcome to apply

  • 1+ year of hands-on agent engineering experience with deep Python or TypeScript skills, preferably using LangGraph

  • Exceptional written and oral communication skills with the ability to explain complex technical concepts to developers and non-technical stakeholders.

  • Experience working directly with customers to define scope, clarify requirements, and prioritize implementation steps that deliver the greatest value first

  • Strong judgement and able to operate independently while keeping customers and others updated on progress

  • A bias for action: thrives in ambiguity, moves fast, and can juggle multiple complex projects.

  • Bonus points for experience in enterprise environments and cloud-based systems using technologies like Kubernetes and Docker.

Location: San Francisco or New York.

Compensation:

  • We offer competitive compensation that includes base salary, meaningful equity, and benefits such as health and dental coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation will vary based on role, level, and location. For team members in the EU and UK, we provide locally competitive benefits aligned with regional norms and regulations.

  • $160K-$200K

Top Skills

Docker
Kubernetes
Langgraph
Python
Typescript
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The Company
123 Employees

What We Do

LangChain is the platform for building reliable agents. Our products power top engineering teams — from fast-growing startups like Lovable, Mercor, and Clay to global brands including AT&T, Home Depot, and Klarna.

LangGraph is a low-level orchestration framework for building controllable agents and long-running workflows. It’s used in production by teams at Replit, Uber, LinkedIn, GitLab, and more.

LangSmith offers unified evaluation and monitoring to help developers debug, evaluate, and improve their agents at scale.

LangChain provides hundreds of integrations and composable components, making it easy to connect with the latest models, tools, and databases — with minimal engineering overhead.

Together, these tools help teams build, deploy, and manage enterprise-grade agents, faster.

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