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
Hybrid role with travel to customer sites as needed - based in San Francisco, CA or New York, NY
We are seeking a Field Deployment Engineer with deep expertise in Kubernetes, cloud platforms, and AI/ML infrastructure to guide enterprise customers through successful implementation and adoption of LangChain's agent platform. The ideal candidate will combine strong technical infrastructure knowledge with exceptional customer-facing skills to deploy, integrate, and optimize AI solutions that meet our customers' unique requirements at scale.
Deploy and integrate LangChain's agent platform in customer environments, ensuring successful production implementations
Execute hands-on deployment of infrastructure solutions using Kubernetes, Helm, and Docker across customer cloud environments (AWS, Azure, GCP)
Lead on-site and remote deployment activities, troubleshooting, and optimization for enterprise customers
Develop and implement CI/CD pipelines, infrastructure as code, and deployment automation for customer AI applications
Provide hands-on technical support during critical deployment phases and production rollouts
Create and maintain deployment scripts, automation tools, and configuration management for repeatable customer deployments
Conduct technical training and knowledge transfer sessions to ensure customer teams can maintain and operate deployed solutions
Document deployment procedures, runbooks, and operational best practices specific to customer environments
Collaborate with customers to implement high availability, disaster recovery, security, and compliance requirements
Serve as the field technical expert, escalating complex issues and feeding deployment insights back to product teams
Support proof-of-concepts and pilot deployments to demonstrate platform capabilities in customer environments
How to be successful in this role
At least 3 years of experience in a technical deployment or field engineering role (Field Engineer, Deployment Engineer, Implementation Engineer, or similar) with infrastructure focus
Deep hands-on expertise in Kubernetes, Helm, Docker, and container orchestration in production environments
Strong experience deploying and managing applications on major cloud platforms (AWS, Azure, GCP)
Proficiency in infrastructure as code tools (Terraform, CloudFormation, etc.) with ability to implement in diverse customer environments
Experience building and deploying CI/CD pipelines in enterprise settings
Strong scripting and automation skills (Python, Bash, Go, or similar)
Excellent troubleshooting and debugging skills for complex distributed systems in live customer environments
Customer-facing experience with ability to work independently at customer sites
Strong communication skills to translate between technical implementation details and business requirements
Comfortable with hands-on technical work and ability to context-switch between multiple customer deployments
Ability to travel up to 40% to customer sites for deployments and on-site support
Bachelor's degree in Computer Science or related field, or equivalent experiences.
Compensation & Benefits
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.
Annual salary range: $135,000-$165,000 USD, $155,000-$195,000 USD for Senior Engineer candidates
Top Skills
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.
