Deployed Engineer

🕒 il y a 1 mois

⛰️ Colorado – Distant

⛰️ Colorado – Remote

💵 $150 000 - $250 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

👷🏻‍♀️ Ingénieur

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LangChain

Site WebLinkedInTous les Emplois

11 - 50 employés

🤖 Intelligence artificielle

🤝 B2B

☁️ SaaS

💰 €25 000 000 Series A en 2024-02

Artificial Intelligence • B2B • SaaS

LangChain est un cadre modulaire conçu pour aider les développeurs tout au long du cycle de vie des applications à base de grands modèles de langage (LLM). Leur suite de produits, comprenant LangGraph et LangSmith, offre des outils pour créer, déployer et gérer des applications capables de raisonner et d'opérer à grande échelle. Avec un accent sur l'efficacité opérationnelle et des performances améliorées, LangChain soutient un large éventail d'industries grâce à ses offres innovantes.

Description

• Co-architect and co-build production AI agents with customer engineering teams • Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations • Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows • Advise customers post-sale on architecture, best practices, and roadmap-level decisions • Run technical demos, trainings, and workshops for developer audiences • Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers • Occasionally contribute code upstream when it meaningfully improves customer outcomes

🎯 Exigences

• 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up • Strong Python, JavaScript and systems fundamentals • Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling • Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations • Can explain technical tradeoffs clearly and build trust with developer audiences • Take responsibility for outcomes, not just recommendations • Have a bias toward action and enjoy figuring things out as you go • Are excited about operating AI agents in production, not just building demos.

🏖️ Avantages

• medical, dental, and vision coverage • flexible vacation • a 401(k) plan • meals on in-office days in the US