Partner Engineer

At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.

Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.

With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.

We're hiring our first Partner Engineer to define how the world's leading enterprises and technology partners adopt agentic AI using LangChain, LangGraph, and LangSmith. This is not a typical SA role. You'll be at the center of the agentic AI ecosystem, working with leading cloud providers, technology ISVs, and global system integrators to shape how production AI agents get built, deployed, and delivered at scale. You'll own the technical foundation of our partner ecosystem, from building reference architectures with cloud and ISV partners to standing up LangChain's first services partner enablement program, including certification tracks, hands-on workshops, and delivery playbooks that enable SIs and GSIs to implement agentic AI solutions for their customers independently. You'll have a direct line to our product and engineering teams, influence our technical roadmap, and help define the patterns that enterprises and their implementation partners use to go from prototype to production.

• Partner with leading cloud providers, technology ISVs, services companies, and global system integrators (GSIs) to design and build agentic AI solutions that showcase what's possible with LangChain, LangGraph, and LangSmith

• Create production-grade reference architectures, sample repositories, solution accelerators, and integration patterns that partners can take to their customers

• Own technical relationships with partner engineering, architecture, and delivery teams, influencing their AI roadmaps, practice development strategies, and integration priorities

• Design and build LangChain's services partner enablement program from the ground up, including tiered certification tracks (sales and technical), structured onboarding journeys, and partner readiness assessments

• Lead hands-on technical workshops, bootcamps, and immersion sessions for SI/GSI partner teams, training their architects and developers to design, build, and deploy agentic AI solutions using LangChain's stack

• Develop delivery playbooks, implementation guides, and hands-on labs that enable services partners to execute customer projects independently and at a high quality bar

• Support strategic customer implementations alongside partner teams, serving as a technical escalation point for complex agent architectures, evaluation frameworks, and production deployment patterns

• Build industry-specific agentic AI solutions (financial services, healthcare, retail, etc.) that services partners and GSIs can customize and deploy for their clients

• Author technical content (blog posts, architecture guides, whitepapers) that establishes LangChain's point of view on agentic AI and serves as foundational enablement material for the partner ecosystem

• Capture field learnings, partner feedback, and delivery patterns from SI engagements, translating them into actionable insights for product, engineering, and partnerships teams

• Create repeatable playbooks and enablement materials that help our sales, partner, and services teams scale

• Work at the intersection of engineering, product, partnerships, and GTM, translating partner and customer needs into scalable technical solutions

• 5+ years in technical, customer-facing or partner-facing roles such as Solutions Architect, Sales Engineer, Partner Engineer, Forward Deployed Engineer, or Applied AI Engineer

• Strong Python skills and hands-on experience building and deploying solutions on at least one major cloud platform (AWS, Azure, or GCP)

• Experience working with LLMs, RAG, agents, orchestration frameworks, or ML infrastructure

• Experience enabling services companies, consulting firms, or global system integrators (GSIs), with an understanding of how they scope projects, staff delivery teams, and measure engagement success

• Demonstrated ability to design and deliver technical training programs, workshops, or certification tracks for external partner audiences of varying technical proficiency

• Ability to collaborate effectively with external partners on complex technical projects, including navigating multi-stakeholder environments across partner architects, delivery leads, and practice managers

• Strong communication skills and comfort explaining technical concepts to both technical and non-technical audiences

• Startup DNA: the ability to thrive in a fast-paced, scaling environment and build programs from scratch with limited existing infrastructure

• Experience taking generative AI or agent-based systems from prototype to production, preferred

• Hands-on experience with LangChain, LangGraph, LangSmith, or similar agent frameworks would be a big bonus

• Experience building partner enablement content (labs, reference architectures, delivery playbooks) or standing up partner certification/readiness programs is a strong plus

• Familiarity with SI/GSI delivery models, enterprise software deployments, or large-scale developer platform enablement is highly valued

• We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.

• Annual salary range: $170,000 to $200,000 USD