Deployed Engineer

🔥 0 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $150k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷🏻‍♀️ 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

• 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 • Travel to customers up to 40% of the time

🎯 Requirements

• 6+ years in a relevant technical role, such as software engineering, customer engineering, solutions engineering, founding/product engineering • Experience 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, including 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 • Responsibility for 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, especially using LangChain, LangGraph, or similar frameworks • Nice to have: experience with LLM evaluation, observability, or guardrails • Nice to have: experience with AWS, GCP, Azure, containers, and basic Kubernetes concepts • Nice to have: experience shipping and operating production software and owning systems under real-world constraints

🏖️ Benefits

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