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Deployed Engineer, Professional Services (NYC)

LangChain · New York, NY

hybridmid$150,000–$215,000Posted Aug 27, 2026PythonTypeScriptJavaScriptLangChainLangGraphAI/MLAgent Systems

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About this role

**Deployed Engineer, Professional Services (NYC)** **About LangChain** We're building the foundation for agent engineering, helping developers move from prototypes to production-ready AI agents. Our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, Sandboxes), open source frameworks (LangChain, LangGraph, Deep Agents), and LangSmith Engine. 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 35% of Fortune 500 use our platform. **The Role** Join our Professional Services team working directly with enterprise customers to build reliable, production agents. You'll translate enterprise workflows into concrete software specs and guide engineering teams through solutions—or build them yourself. **Key Responsibilities** • Advising: Agent architecture design, evaluation strategy, production guidance • Building: Co-build with customer teams across the Agent Development Lifecycle • Embedding: Serve as deployed engineer inside customer teams for extended engagements • Agent Engineering: Full ADLC, architecture design, orchestration, evals, custom UIs, deployment • Applied AI: Post-training, fine-tuning, trace mining, model selection **Requirements** • 4+ years software engineering with deep Python expertise (TypeScript/JavaScript a plus) • 2+ years hands-on building and shipping production agent systems • Strong client-facing communication skills • Deep experience with LangChain/LangGraph/Deep Agents or comparable frameworks • Experience designing evaluation methodologies for non-deterministic AI systems • Comfortable with advisory to embedded delivery models **Nice to Have** • Dataset curation and post-training techniques (SFT, DPO, RLHF) • Trace mining experience **Compensation & Benefits** $150,000–$215,000 base + equity Medical, dental, vision, flexible vacation, 401(k), meals on in-office days

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