GTM Engineer

🕒 il y a 3 mois

⛷️ Utah – Distant

⛷️ Utah – Remote

💵 $160 000 - $180 000 / an

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🧑‍💻 Développeur Full-Stack

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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

• Architect Customer Agents: Design and deploy production-grade agents that handle technical support queries, troubleshoot integrations, and guide users through complex onboarding flows. • Drive Case Deflection: Analyze customer friction points and build self-service AI systems that significantly reduce support volume while improving the quality of the customer experience. • Own the Domain: Act as the product owner and the technical muscle proactively identifying opportunities for improvement, propose architectures, and own the full lifecycle of the systems you build. • Dogfood the Stack: Be a key member of the feedback loop for our product team, identifying gaps in our frameworks and contributing back to the LangChain and LangGraph open-source ecosystem. • Build Onboarding Workflows: Develop "AI-native onboarding" experiences that help enterprise customers move from prototypes to production faster by automating documentation retrieval and code generation.

🎯 Exigences

• deep understanding of the LLM stack: prompting, retrieval (RAG), cognitive architectures, and agentic loops • strong software engineer (typically 3+ years) with at least 1 year of experience specifically shipping LLM systems in production • comfortable navigating ambiguity, identifying high-impact problems, and driving them to completion autonomously • strong coding skills in Python or TypeScript (ideally both) with the ability to build end-to-end applications • enjoy the intersection of high-level engineering and direct customer impact, translating a customer's technical pain point into scalable system architecture • expertise with LangSmith for evaluation and monitoring (nice to have) • experience building or maintaining open-source projects (nice to have) • background in technical consulting, solutions engineering, or high-growth GTM teams (nice to have)

🏖️ Avantages

• medical, dental, and vision coverage • flexible vacation • 401(k) plan • life insurance