AI Engineer, Enablement (London)

LangChain · Londonmid

En corto

▸Construyes y enseñas sistemas de agentes de IA a empresas desde el onboarding.
▸Diseñas talleres prácticos y herramientas internas para escalar el equipo de Enablement.
▸Eres el puente entre clientes nuevos y el producto, con impacto directo en su éxito.

Fluent English required for customer-facing work

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓3+ años construyendo aplicaciones de LLM/agentes reales
✓2+ años en rol técnico con clientes (Enablement, CS, Solutions Engineering)
✓Experiencia en talleres en vivo y enseñanza técnica
✓Capacidad para explicar conceptos complejos a distintos niveles
✓Python avanzado, con experiencia en debugging en tiempo real
✓Capacidad para operar con autonomía en entornos ambiguos

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonLLMLangChainLangGraphLangSmithLangSmith EngineOpen-sourceObservabilityEvaluationAgent architectures

¿A quién escribirle en LangChain?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Us 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. 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. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. com, Nvidia, and Bridgewater. About the Team The Enablement team works directly with companies building AI agents for production, getting new LangChain customers off to a fast, confident start. We own onboarding and instructor-led education for our customers, and run focused advisory sprints for accounts that need deeper support on architecture and evaluation. About the Role You'll set the technical foundation for every new customer — teaching their teams to build effectively on the platform and advising on agent development and evaluation as they go. You are someone who's built real agent systems, can defend the tradeoffs in them, and genuinely loves teaching, whether that's a live workshop for 50 engineers or a 1:1 debugging session with one stuck developer. You'll also build the internal agents and tools that make the Enablement team itself more efficient.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.