Deployed Engineer (Las Vegas)
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AI Summary AI Analysis
LangChain is hiring a Deployed Engineer to tackle challenging applied AI problems, co-building production AI agents with customers and leading technical wins in pre-sales. This role requires strong Python and JavaScript skills, experience with agent-based or LLM-powered applications, and a customer-facing aptitude for a dynamic startup environment.
Job Description
LangChain is seeking a Deployed Engineer to join their team. As a Deployed Engineer, you will work on some of the hardest problems in applied AI, co-architect and co-build production AI agents with customer engineering teams, and own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.Requirements3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-upStrong Python, JavaScript and systems fundamentalsHave designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingAre comfortable working directly with customers during POCs, architecture reviews, and technical evaluationsCan explain technical tradeoffs clearly and build trust with developer audiencesTake responsibility for outcomes, not just recommendationsHave a bias toward action and enjoy figuring things out as you goAre excited about operating AI agents in production, not just building demosBenefitsMedical, dental, and vision coverageFlexible vacation401(k) planMeals on in-office days in the USOriginally posted on Himalayas
Full Description
LangChain is seeking a Deployed Engineer to join their team. As a Deployed Engineer, you will work on some of the hardest problems in applied AI, co-architect and co-build production AI agents with customer engineering teams, and own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations.Requirements3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-upStrong Python, JavaScript and systems fundamentalsHave designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handlingAre comfortable working directly with customers during POCs, architecture reviews, and technical evaluationsCan explain technical tradeoffs clearly and build trust with developer audiencesTake responsibility for outcomes, not just recommendationsHave a bias toward action and enjoy figuring things out as you goAre excited about operating AI agents in production, not just building demosBenefitsMedical, dental, and vision coverageFlexible vacation401(k) planMeals on in-office days in the USOriginally posted on Himalayas