Partner Engineer (AI)

Location: San Francisco, CA; on-site

Annual salary: $170,000–$200,000 USD

Company

LangChain builds open-source frameworks and a platform for building, evaluating, deploying, and operating intelligent agents at scale.

What you will do

• Build reference architectures and integration patterns for cloud partner co-selling, marketplace listings, and joint solution briefs across GCP and Azure.
• Develop and run a services partner enablement program with certification tracks, workshops, delivery playbooks, and implementation guides based on the agent development lifecycle.
• Work with systems integrator centers of excellence to create repeatable solutions that partners can scope, build, and deploy independently.
• Support partner account teams with technical evangelism, solutioning, presentations, events, summits, and joint webinars.
• Maintain joint technical roadmaps with strategic services partners and help grow technical champions into partner centers of excellence.
• Serve as a technical escalation point and route partner and field feedback to product and engineering.

Requirements

• 7+ years of experience in a technical, partner-facing, or customer-facing role such as Partner Engineer, Solutions Architect, or Sales Engineer.
• Experience partnering with systems integrators, cloud providers, technology partners, or ISVs on complex technical solutions from design through delivery.
• Experience creating enablement programs, certifications, workshops, delivery playbooks, sample repositories, or reusable reference architectures.
• Hands-on experience with LLM frameworks such as LangChain or LangGraph, RAG patterns, agent architecture, evaluation frameworks, prompts, and agent behavior.
• Strong Python skills and working knowledge of GCP and/or Azure services, vector stores, tool integration, and API design.
• Strong technical presentation and communication skills, including communication with technical, business, and C-suite stakeholders.

Culture & Benefits

• Meaningful ownership and impact in a rapidly growing AI product company.
• Competitive compensation including base salary, variable compensation where relevant, equity, benefits, and perks.
• Medical, dental, and vision coverage.
• Flexible vacation and a 401(k) plan.
• Meals provided on US in-office days.