Senior Agent Engineer

LangChainSan Francisco, CA
89d$160,000 - $200,000

About The Position

We are hiring for a Senior Agent Engineer to build sophisticated AI agents with our customers to solve real world problems at the edge of AI capabilities. On a daily basis, you will work directly alongside customer teams co-owning the agent development process from prototypes to production. You will also be our tip-of-the-spear contributing learnings from the real world implementations back to the LangChain product and engineering teams.

Requirements

  • 7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer.
  • 1+ year of hands-on agent engineering experience with deep Python or TypeScript skills, preferably using LangGraph.
  • Exceptional written and oral communication skills with the ability to explain complex technical concepts to developers and non-technical stakeholders.
  • Experience working directly with customers to define scope, clarify requirements, and prioritize implementation steps that deliver the greatest value first.
  • Strong judgement and able to operate independently while keeping customers and others updated on progress.
  • A bias for action: thrives in ambiguity, moves fast, and can juggle multiple complex projects.

Nice To Haves

  • Experience in enterprise environments and cloud-based systems using technologies like Kubernetes and Docker.

Responsibilities

  • Partner directly with enterprise customers to co-architect and co-build next-generation AI agents and applications, working shoulder-to-shoulder from design and architecture through production deployment.
  • Lead technical design sessions to scope, align on implementation approach and ensure customers adopt sound architectural choices for performance and reliability.
  • Partner with sales and pre-sales engineering to define implementation strategies for customers, accelerating the value customers can derive from our platform.
  • Synthesize customer feedback and identify friction points to inform the product roadmap, collaborating with product and engineering teams to improve the user experience.
  • Stay current on emerging AI trends and translate them into actionable solutions and technical guidance as applicable to customers.
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