Partner Engineer

The role

You will build reference architectures, integration patterns, and enablement programs to support technical cloud alliances with AWS, Google Cloud, and Microsoft Azure. You will also support systems integrators and resellers to ensure they can deliver LangChain on cloud platforms.

What you will do

• Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
• Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud
• Support the technical side of co-sell through joint solution briefs, deployment guides, and validated architectures
• Partner with cloud account teams on solutioning for named accounts
• Keep marketplace listings, deployment options, and co-sell technical assets current
• Enable cloud field and partner teams through workshops, demos, and technical briefings
• Build and maintain joint technical plans with each cloud provider
• Support systems integrators and resellers during cloud deals
• Serve as a technical escalation point for complex deployments sourced through cloud partners
• Represent LangChain at cloud provider events, summits, and joint webinars

Required qualifications

• 7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer
• Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell
• Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers
• Experience enabling a partner's field or technical teams
• Comfortable working across engineering, partnerships, and sales
• Strong presentation and technical communication skills
• Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
• Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
• Strong Python skills
• Deep working knowledge of at least one of AWS, GCP, or Azure
• Hands-on experience with cloud AI platforms and managed model services
• Experience designing integrations, sample repositories, or reference architectures

Nice to have

• Experience at or alongside a hyperscaler
• Former founders and technical leaders
• Strong background in GCP or Azure

Benefits

• medical, dental, and vision coverage
• flexible vacation
• 401(k) plan
• meals on in-office days in the US
• meaningful equity

About the company

LangChain builds the foundation for agent engineering, helping developers move from prototypes to production-ready AI agents. The platform includes LangSmith, open source frameworks, and the LangSmith Engine.