Deployed Engineer

🕒 August 4

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• 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 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 across customers • Occasionally contribute code upstream when it meaningfully improves customer outcomes • Travel to customers up to 40% of the time

🎯 Requirements

• 6+ years in a relevant technical role, ideally in a startup or scale-up • Strong Python, JavaScript, and systems fundamentals • Experience designing agent-based or LLM-powered applications beyond simple API calls • Experience with multi-step workflows, orchestration, and failure handling • Comfortable working directly with customers during POCs, architecture reviews, and technical evaluations • Ability to explain technical tradeoffs clearly and build trust with developer audiences • Ownership of outcomes, not just recommendations • Bias toward action and ability to figure things out as you go • Excitement about operating AI agents in production • Nice to have: production AI-agent deployment using LangChain, LangGraph, or similar frameworks • Nice to have: LLM evaluation, observability, or guardrails experience • Nice to have: cloud environments such as AWS, GCP, or Azure; containers; and basic Kubernetes concepts • Nice to have: experience shipping and operating production software

🏖️ Benefits

• Competitive compensation including base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks • Medical coverage • Dental coverage • Vision coverage • Flexible vacation • 401(k) plan • Meals on in-office days in the US