About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization.
Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, 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
Competitive salary and equity stake for role and stage of company. Commensurate with experience.
Annual salary range: $135,000-$165,000 USD, $155,000-$195,000 USD for Senior Engineer candidates
