LangChain
Data AI · LLM orchestration
- Website
- langchain.com
Data AI · LLM orchestration
LangChain currently has 47 active AI-related job listings. The majority of these roles, 87%, are focused on agents, with the remaining 13% in evaluation. Engineering is the primary function being hired for, with 46 positions, while Product has one listing. The United States is the dominant hiring country, with 37 roles. Frequent tech tags include agent orchestration, LLM observability, and model serving, suggesting a focus on building and managing AI agent systems. In the last 30 days, LangChain posted 5 new AI roles, representing a 78% decrease compared to the previous 30-day period.
Currently tracking 45 active AI roles, down 54% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $116k–$340k (avg $196k).
LangChain currently has 42 active AI-related roles in our index. The most common open titles are: GTM Engineer (2), Customer Engineer (West Coast), Deployed Engineer (Amsterdam), Deployed Engineer (Atlanta), Deployed Engineer (Bay Area). Most positions are in Engineering and Product.
LangChain's active AI hiring is concentrated in: agents (83%), evaluation (14%), serving infrastructure (2%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
LangChain is hiring AI talent in: United States (31 roles), United Kingdom (3 roles), Sweden (2 roles), Singapore (2 roles).
Job postings at LangChain most frequently reference: agent orchestration, llm observability, model serving, evals, guardrails.
In the past 30 days, LangChain has posted 3 new AI-related roles. That is a -89% change versus the prior 30 days (27 → 3).
| Title | Stage | AI score |
|---|---|---|
| Deployed Engineer (Phoenix) LangChain is seeking a Deployed Engineer to work on production AI agents, focusing on customer deployments, technical wins in pre-sales, and operating agent-based applications. The role involves co-architecting and co-building agents with customers, guiding evaluations, and contributing to the product based on field feedback. This is a hands-on engineering role focused on real-world AI agent systems. | Agent | 9 |
| Deployed Engineer (Seattle) This role focuses on co-architecting and co-building production AI agents with customer engineering teams, owning the technical win in pre-sales, and helping customers deploy and operate agent-based applications. It involves advising customers on architecture, best practices, and roadmap decisions, running technical demos and trainings, and surfacing field feedback. The role requires strong Python/JavaScript, systems fundamentals, and experience designing agent-based applications beyond simple API calls, including multi-step workflows and orchestration. |
| Agent |
| 8 |
| GTM Engineer LangChain is seeking a GTM Engineer to build AI-native systems for technical support and onboarding. This role involves architecting and deploying production-grade agents using LangGraph and LangSmith to drive case deflection and improve customer experience. The engineer will own the technical roadmap for user support, act as the "First Customer" for LangChain's tools, and contribute to the open-source ecosystem. Requires strong software engineering skills, experience shipping LLM systems, and a deep understanding of the LLM stack including RAG and agentic loops. | Agent | 8 |
| Solutions Architect (Remote) LangChain is seeking a Solutions Architect to join their Professional Services team. The role involves designing, deploying, and optimizing production-grade AI infrastructure and agent systems for enterprise customers. Responsibilities include infrastructure and platform engineering (Kubernetes, Terraform, CI/CD), agent engineering (multi-agent systems, evaluation frameworks, prompt optimization), and customer engagement (technical assessments, requirement gathering). Requires 7+ years of technical customer-facing experience, with specific experience in cloud platforms, Kubernetes, IaC, LLM frameworks, and evaluation frameworks. | AgentServe | 8 |
| Deployed Engineer (Denver) LangChain is seeking a Deployed Engineer to build and deploy production AI agents for customers. This role involves co-architecting and co-building agents, owning technical wins in pre-sales, advising customers on architecture and best practices, and contributing to the open-source ecosystem. The ideal candidate has experience designing agent-based applications, Python/JavaScript fundamentals, and a bias for action in operating AI in production. | Agent | 8 |
| Deployed Engineer (Las Vegas) LangChain is seeking a Deployed Engineer to work on production AI agents, focusing on customer deployments and operations. This role involves co-architecting and building agents with customers, owning technical wins in pre-sales, and advising on architecture and best practices post-sale. The ideal candidate has experience designing agent-based applications beyond simple API calls and is comfortable working directly with customers to deploy and operate these systems in production. | Agent | 8 |
| Deployed Engineer (Raleigh) LangChain is seeking a Deployed Engineer to work with customers on building and operating production AI agents. This role involves co-architecting and co-building agents, leading technical wins in pre-sales, assisting with deployment and operation, and advising on architecture and best practices. The ideal candidate has experience with Python/JavaScript, designing agent-based applications beyond simple API calls, and working directly with customers. | Agent | 8 |
| Deployed Engineer (Charlotte) LangChain is seeking a Deployed Engineer to work with companies building and running AI agents in production. This role involves co-architecting and co-building production AI agents, owning the technical win in pre-sales, helping customers deploy and operate agent-based applications, and advising on architecture and best practices. The role focuses on applied AI systems that real teams depend on, not demos or research. | Agent | 8 |
| Deployed Engineer (Atlanta) LangChain is seeking a Deployed Engineer to work directly with companies building and running AI agents in production. This role involves co-architecting and co-building production AI agents, owning the technical win in pre-sales, deploying and operating agent-based applications, and advising customers on architecture and best practices. The role focuses on systems that real teams depend on in production, not demos or research. | Agent | 8 |
| Deployed Engineer (Boston) LangChain is seeking a Deployed Engineer to work directly with companies building and operating AI agents in production. This role involves co-architecting and co-building agent systems, guiding customers through technical wins, deploying and operating agent-based applications, and advising on architecture and best practices. The role sits at the intersection of engineering, product, and go-to-market, with a focus on shipping production-ready AI agents. | Agent | 8 |
| Solutions Architect (NYC) LangChain is seeking a Solutions Architect to join their Professional Services team. The role involves designing, deploying, and optimizing production-grade AI infrastructure and agent systems for enterprise customers. Responsibilities include infrastructure and platform engineering (Kubernetes, Terraform, CI/CD), agent engineering (multi-agent systems, LangChain/LangGraph, evaluation frameworks, prompt optimization), and customer engagement. Requires 7+ years of technical customer-facing experience, with specific experience in cloud platforms, Kubernetes, IaC, LLM frameworks, and evaluation frameworks. | AgentServe | 8 |
| Solutions Architect (Austin) LangChain is seeking a Solutions Architect to join their Professional Services team. The role involves designing, deploying, and optimizing production-grade AI infrastructure and agent systems for enterprise customers. Responsibilities include infrastructure and platform engineering (Kubernetes, Terraform, CI/CD), agent engineering (multi-agent systems, evaluation frameworks, prompt optimization), and customer engagement. This role requires a strong background in both infrastructure and agent development, with a focus on customer success and building reliable AI applications. | AgentServe | 8 |
| Solutions Architect (Dallas) LangChain is seeking a Solutions Architect to join their Professional Services team. The role involves designing, deploying, and optimizing production-grade AI infrastructure and agent systems for enterprise customers. Responsibilities include infrastructure and platform engineering (Kubernetes, Terraform, CI/CD), agent engineering (multi-agent systems, evaluation frameworks, prompt optimization), and customer engagement. Requires 7+ years of technical customer-facing experience, with specific experience in cloud platforms, Kubernetes, IaC, LLM frameworks, and AI application evaluation. | AgentServe | 8 |
| Solutions Architect (San Francisco) LangChain is seeking a Solutions Architect to join their Professional Services team. The role involves working with enterprise customers to design, deploy, and optimize AI infrastructure and agent systems. Responsibilities include architecting scalable infrastructure, building reliable agent applications, and customer engagement. This position requires a blend of software development, infrastructure engineering, and customer-facing skills, with a focus on multi-agent systems and production-grade AI deployments. | AgentServe | 8 |
| Deployed Engineer (Bay Area) LangChain is seeking a Deployed Engineer to work on production AI agents, focusing on customer engagements, POCs, deployment, and operation of agent-based applications. This role involves co-architecting and co-building agents with customers, owning technical wins in pre-sales, and advising on architecture and best practices. The ideal candidate has experience designing agent-based applications beyond simple API calls and is comfortable working directly with customers to ensure successful deployment and operation of AI agents in production. | Agent | 8 |
| GTM Engineer This role focuses on building and deploying production-grade agents using LangChain and LangGraph to automate technical support, onboarding, and customer success. The goal is to drive case deflection and improve customer experience by creating autonomous systems that solve complex technical problems. The role requires strong software engineering skills, deep understanding of the LLM stack (prompting, RAG, agentic loops), and the ability to act as a builder-operator. | Agent | 8 |
| Fullstack Software Engineer, Applied AI Fullstack Software Engineer, Applied AI at LangChain, focusing on building and deploying production-grade AI agents and workflows across various business domains. The role involves designing agent architectures, evaluation pipelines, and translating AI research into practical solutions, contributing to the open-source ecosystem. Requires experience shipping AI/ML applications, particularly LLM systems in production, and understanding of agent components like prompting, retrieval, orchestration, and inference. | AgentEval Gate | 8 |
| Customer Engineer (West Coast) LangChain is seeking a Customer Engineer to join their Enterprise Enablement team. This role involves leading onboarding, creating training, and developing enablement frameworks for enterprise customers using LangChain's platform for building AI agents. The position requires strong technical expertise in AI/ML applications and agents, with a focus on customer success and product roadmap feedback. | Agent | 7 |
| Deployed Engineer (Salt Lake City) LangChain is seeking a Deployed Engineer to help customers build and operate production-ready AI agents. This role involves co-architecting and co-building agents with customer teams, owning the technical win in pre-sales, and advising customers on deployment and best practices. The ideal candidate has 3+ years of technical experience, strong Python/JavaScript skills, and experience designing agent-based applications beyond simple API calls. | Agent | 7 |
| Deployed Engineer (NYC) This role focuses on helping customers deploy and operate AI agents in production, co-architecting and co-building these agents with customer engineering teams. It involves pre-sales technical wins, post-deployment advisory, and surfacing field feedback to improve the platform. The role emphasizes building production systems rather than demos or research. | Agent | 7 |
| Director, Deployed Engineering - Central LangChain is seeking a Director of Deployed Engineering to build and lead a team focused on helping enterprise customers build and deploy AI agents in production. This role involves technical leadership, customer engagement, and revenue accountability, partnering closely with sales and product teams to drive adoption and ensure customer success with LangChain's platform. | Agent | 7 |
| Education Engineer LangChain is seeking an Education Engineer to develop curriculum for their developer community, focusing on generative AI and agent-building concepts using LangChain, LangGraph, and LangSmith. The role involves creating online courses, tutorials, and live workshops to teach developers how to build production-ready AI agents. | Agent | 7 |
| Python OSS Engineer LangChain is seeking a Python OSS Engineer to maintain and evolve the core LangChain Python ecosystem, focusing on building reliable abstractions for AI agents and integrating them with real-world tools. This role involves improving core abstractions and runtime, enhancing documentation, and supporting the community. | Agent | 7 |
| Senior Technical Support Engineer Senior Technical Support Engineer to lead customer support for technical users (AI engineers, infra architects) debugging production LLM applications and agents, improving AI observability and evaluations, and unblocking critical issues. Will also define world-class technical support for AI platforms and mentor other support engineers. | Agent | 5 |
| Senior Backend Engineer, LangSmith Deployments LangChain is seeking a Senior Backend Engineer to work on LangSmith Deployments, the runtime infrastructure for running AI agents in production. This role involves designing and scaling durable execution runtimes for long-running, fault-tolerant agents with features like checkpointing, orchestration, and horizontal scaling. The engineer will focus on backend development, distributed systems, and infrastructure, with a strong preference for Kubernetes and DevOps tooling. | Agent | 5 |