Solutions Engineer

Vaga não está no LinkedIn

🕒 3 dias atrás

🌽 Illinois – Remoto

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⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

💻 Engenheiro de Soluções

👻 Score fantasma 25%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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LangChain

11 - 50 funcionários

🤖 Inteligência Artificial

🤝 B2B

☁️ SaaS

💰 $25.000.000 Series A em 2024-02

Artificial Intelligence • B2B • SaaS

LangChain é um framework componível projetado para auxiliar desenvolvedores em todo o ciclo de vida de aplicações com Large Language Models (LLMs). Sua suíte de produtos, incluindo LangGraph e LangSmith, oferece ferramentas para criar, implantar e gerenciar aplicações capazes de raciocinar e operar em escala. Com foco em eficiência operacional e desempenho aprimorado, a LangChain atende a uma ampla variedade de setores por meio de soluções inovadoras.

Descrição

• Partner with account executives to scope evaluations, run technical discovery, and design POCs based on customer use cases • Serve as the technical authority during architecture reviews, security and infrastructure questions, and competitive evaluations • Co-architect and co-build production AI agents with customer engineering teams from prototype through rollout • Help customers deploy and operate conversational agents, research agents, and multi-step workflows • Run demos, trainings, and workshops for developer audiences • Advise customers post-sale on architecture, best practices, and roadmap-level decisions • Identify expansion opportunities from customer conversations • Surface field feedback to product teams • Build reusable POC assets, cookbooks, and example code • Contribute code upstream when it improves customer outcomes

🎯 Requisitos

• 6+ years in a relevant technical role such as solutions engineering, sales engineering, customer engineering, software engineering, or founding and product engineering • Comfort owning the technical thread in a sales cycle, including discovery, POCs, architecture reviews, and competitive evaluations • Ability to explain technical tradeoffs clearly and build trust with developer audiences • Track record of taking responsibility for outcomes, not just recommendations • Bias toward action and willingness to figure things out as you go • Genuine interest in operating AI agents in production • Experience with AI agents in production, especially using LangChain, LangGraph, or similar frameworks (nice to have) • Experience carrying a technical number or working against pipeline alongside a sales team (nice to have) • Experience with LLM evaluation, observability, or guardrails (nice to have) • Experience with cloud environments such as AWS, GCP, or Azure, containers, and basic Kubernetes concepts (nice to have)

🏖️ Benefícios

• Variable compensation for relevant roles • Meaningful equity • Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US

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