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LangChain is seeking a customer-facing onboarding specialist in London to guide new customers from contract signing to a working setup on the company's platform. You will help with tracing, evaluation, and deployment basics, ensuring a smooth start for teams adopting AI agents, while building trust through practical support.
A hands-on attitude and curiosity about AI tools are valued over deep engineering background, with room to grow as more customers move from prototypes to live use.
The role is about getting new customers from contract signing to a working setup on the company's platform. A strong candidate has a few years of customer facing work, stays organized, follows through on details, and is comfortable learning technical setup topics like SDK integration and evaluations. Curiosity about AI and a hands on attitude matter more than deep engineering background.
The work sits at the front line of helping teams put AI agents into production, so the specialist guides customers through tracing, evaluation, and deployment basics. AI tools can speed up documentation and routine answers, but building trust, reading a customer's real blockers, and knowing when to bring in deeper expertise stay human. The role grows as more companies move agents from prototypes to live use.
The specialist gains hands on exposure to agent observability, evaluation workflows, and deployment through daily customer setups. Building this means learning the platform's core concepts well enough to run a first trace and first evaluation alongside customers. Recurring questions turned into runbooks also build a practical view of how AI applications are made reliable.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
LangChain provides an open agent engineering platform and open source frameworks for building, testing, deploying, monitoring, and governing AI agents, per the company.