Solutions Engineer

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

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LangChain

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

💰 $25M Series A on 2024-02

Artificial Intelligence • B2B • SaaS

LangChain is a composable framework designed to assist developers throughout the entire lifecycle of Large Language Model (LLM) applications. Their suite of products, including LangGraph and LangSmith, offers tools for building, deploying, and managing applications that can reason and operate at scale. With a focus on operational efficiency and improved performance, LangChain supports a wide range of industries through its innovative offerings.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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