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NEXTMOVEFDE careers · United States

Lead Applied AI Engineer

AI summary of the role

Lead hands-on engineer on LangChain's Applied AI team, building frontier open-source and internal agents (Open SWE, Open Canvas, Deep Research) and driving complex agentic projects end-to-end.

What you’ll do

  • Design, implement, and deploy end-to-end AI workflows and agents across multiple business domains
  • Develop agent architectures, evaluation pipelines, and performance frameworks for reliability
  • Mentor engineers through code review and design discussions; set technical bar for quality
  • Work with customers and stakeholders to translate requirements into technical plans

What you’ll bring

  • 4+ years software engineering with production LLM/agent experience
  • Experience leading technical projects end-to-end and mentoring engineers
  • Hands-on evaluation and monitoring systems for agents or workflows
  • Deep understanding of AI system components: prompting, retrieval, orchestration, inference APIs, model selection

Technologies

LangChain · LangGraph · LangSmith · Python · TypeScript · LLM · agents · evaluation pipelines · retrieval · orchestration

About LangChain

Open-source and commercial platform for building, evaluating, deploying, and operating AI agents at scale.

Series B

Source and classification

Internal deployment & tooling · Evidence for this classification:

(LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Team: The Applied AI team builds the agents that show the world what's possible with LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly,
More from the job description

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. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About The Team: The Applied AI team builds the agents that show the world what' [... source excerpt omitted ...] h LangChain. We ship open source reference agents like Open SWE, Open Canvas, and our Deep Research agent that developers across the community use as starting points for their own production systems, while also building internal agents that power LangChain's own GTM and engineering workflows. It's a small, fast-moving team that operates at the frontier, iterating rapidly, running rigorous evals on our own work, and feeding hard-won learnings back into the platform. If you want to work on the frontier of agent-building, this may be the team for you. About The Role: We're looking for a Lead Applied AI Engineer based in our NYC office. This is a hands on role leading technical proje [... source excerpt omitted ...] ld, ship, and also be the person other engineers come to when a project is stuck or a design decision needs a second set of eyes. *This role is based onsite in New York, NY What You'll do: Design, implement, and deploy end-to-end AI workflows and agents that solve real problems across multiple business domains Develop and iterate on agent architectures, evaluation pipelines, and performance frameworks to ensure reliability and measurable outcomes Set the technical bar for the team on code quality, testing, documentation, and project scoping Mentor engineers on the team through code review and design discussions Work directly with customers and internal stakeholders to tr

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