About the TeamThe Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.This is a hands‑on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre‑sales evaluations to post‑deployment advisory work. The focus is on achieving the technical win, co‑designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.Deployed Engineers sit at the intersection ofengineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real‑world insights back into the platform.About the RoleThe Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, butsystems that real teams depend on in production. The feedback loop is quick, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.What You’ll DoCo-architect and co-build production AI agents with customer engineering teamsOwn thetechnical winin pre-sales by designing POCs, answering deep technical questions, and guiding evaluationsHelp customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflowsAdvise customers post-sale on architecture, best practices, and roadmap-level decisionsRun technical demos, trainings, and workshops for developer audiencesSurface field feedback and contribute reusable patterns, cookbooks,



and example code that scale across customersOccasionally contribute code upstream when it meaningfully improves customer outcomesWhat You’ll Bring3+ yearsin a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in astartup or scale-upStrongPython, JavaScriptand systems fundamentalsHave designedagent-based or LLM-powered applicationsbeyond simple API calls, including multi-step workflows, orchestration, and failure handlingAre comfortable workingdirectly with customersduring POCs, architecture reviews, and technical evaluationsCanexplain technical tradeoffs clearlyand build trust with developer audiencesTake responsibility foroutcomes, not just recommendationsHave abias toward actionand enjoy figuring things out as you goAre excited aboutoperating AI agents in production, not just building demosNice to Have’s:You’ve deployedAI agents in production, especially usingLangChain, LangGraph, or similar frameworksWorked withLLM evaluation, observability, or guardrailsHave experience withcloud environments(AWS, GCP, Azure), containers, and basic Kubernetes conceptsHaveshipped and operated production softwareand are comfortable owning systems under real‑world constraintsCompensationAnnual OTE range:$150,000–$250,000 USDCompensation Philosophy:We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.BenefitsBenefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in‑office days in the US and more.#J-18808-Ljbffr

📌 Deployed Engineer (Raleigh) - $150,000 - $250,000 A Year (Winnipeg)
🏢 LangChain
📍 Winnipeg