LangChain

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.

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.

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.

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.

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.

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.

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.

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, helping customers deploy and operate agent-based applications, and advising on architecture and best practices. The role focuses on systems that real teams depend on in production, with a fast feedback loop and visible impact.

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.

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.

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.

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.

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.

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.

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 technical wins in pre-sales, helping customers deploy and operate agent-based applications, and advising on architecture 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.

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, helping customers deploy and operate agent-based applications, and advising on architecture and best practices. The role focuses on systems that real teams depend on in production, not demos or research.

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 technical wins in pre-sales, helping customers deploy and operate agent-based applications, and advising on architecture and best practices. The role requires strong Python/JavaScript skills, experience with agent-based or LLM-powered applications beyond simple API calls, and comfort working directly with customers. The ideal candidate is excited about operating AI agents in production and has a bias toward action.

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, and helping customers deploy and operate agent-based applications. The role sits at the intersection of engineering, product, and go-to-market, shaping AI adoption and feeding insights back into the platform.

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 with customer engineering teams, owning the technical win in pre-sales, and helping customers deploy and operate agent-based applications. The role requires strong Python/JavaScript fundamentals, experience designing agent-based applications beyond simple API calls, and comfort working directly with customers. The ideal candidate has experience deploying AI agents in production, especially using LangChain, and is excited about operating AI agents in production.

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.

Engineering Manager to lead the team building LangSmith, an observability and evaluation platform for LLM applications. Responsibilities include defining technical direction, growing and mentoring the team, and partnering with product/design to deliver features for trustworthy AI systems.

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.

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.

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.

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.

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.

Engineering Manager to lead the team building LangSmith, an observability and evaluation platform for LLM applications. Responsibilities include defining technical direction, mentoring engineers, and partnering with product/design to deliver features for trustworthy AI systems. Requires experience managing teams, strong technical background in Go/Python/Typescript, and understanding of data-intensive systems.

LangChain is seeking a Senior Backend Software Engineer to build the backend systems for their AI observability and evals platform (LangSmith). The role involves designing, developing, and maintaining backend services and APIs for tracing, monitoring, and evaluation workflows, optimizing data storage and query performance, ensuring system reliability, and troubleshooting production issues. Experience with high-throughput systems, database systems, and cloud platforms is required.

LangChain is seeking a Fullstack Engineer to develop features for LangSmith, their AI observability and evals platform. The role involves working across the Go, Python, and Typescript stack, collaborating with product and design teams, and driving project timelines with high engineering standards. Experience with AI/LLM-powered applications or observability platforms is a plus.

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.

Senior Fullstack Engineer for LangSmith, an observability and evals platform for AI agents. The role involves leading technical architecture, implementing features across Go, Python, and Typescript, collaborating with product/design, mentoring junior engineers, and ensuring high engineering standards. Requires 5+ years of fullstack experience with Go/Python and React/Typescript, strong database knowledge (Postgres, Redis), and API design/scaling experience. Experience with AI/LLM applications, developer tools, or observability platforms is a bonus. The role is in-person 5 days/week in San Francisco.

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.