
Job Overview
Location
Chicago, IL
Job Type
Full-time
Category
Software Engineering
Date Posted
March 15, 2026
Full Job Description
📋 Description
- • Join LangChain, a rapidly growing leader in AI agent engineering, and play a pivotal role in making intelligent agents ubiquitous. We are seeking a highly motivated and technically adept Deployed Engineer to join our North Central team, focusing on the Chicago and Dallas regions. This is a unique opportunity to work at the forefront of applied AI, tackling complex, real-world challenges that go beyond simple demos or research projects. You will be instrumental in helping our customers move from initial concepts and prototypes to robust, production-ready AI agents that teams can reliably depend on.
- • As a Deployed Engineer, you will be a key technical partner for our enterprise clients, guiding them through the entire lifecycle of building and deploying AI agents. This hands-on role requires a deep understanding of software engineering principles, a passion for AI, and the ability to translate complex technical concepts into actionable solutions. You will collaborate closely with customer engineering teams, acting as a trusted advisor and technical expert. Your primary focus will be on achieving technical wins, co-designing sophisticated agent architectures, and ensuring the reliable, scalable operation of these agents using the comprehensive LangChain suite of tools, including LangChain, LangGraph, and LangSmith.
- • Your responsibilities will span pre-sales evaluations, where you'll design Proofs of Concept (POCs), address intricate technical inquiries, and guide customers through their evaluation processes. Post-sales, you will provide critical advisory services, focusing on architecture, best practices, and long-term roadmap decisions. You will also be responsible for running technical demonstrations, conducting in-depth trainings, and hosting workshops tailored for developer audiences, empowering them to leverage LangChain effectively.
- • A significant aspect of this role involves acting as a conduit between the field and our product teams. You will meticulously surface real-world feedback, identify recurring challenges, and contribute to the development of reusable patterns, comprehensive cookbooks, and example code that can be scaled across our diverse customer base. In instances where it significantly enhances customer outcomes, you will also have the opportunity to contribute code directly to our open-source projects, ensuring the platform evolves in line with practical application needs.
- • This position offers an unparalleled opportunity to work on some of the most challenging problems in applied AI. You will be directly involved in building systems that real teams depend on for critical operations, experiencing a fast feedback loop and seeing the tangible impact of your work. The insights you gain and the solutions you help create will directly shape the future of how AI agents are built and deployed globally. If you are passionate about pushing the boundaries of AI and thrive in a dynamic, customer-facing technical environment, this role is for you.
- • The Deployed Engineering team operates at the critical intersection of engineering, product development, and go-to-market strategy. Your contributions will not only drive customer success but also influence the direction of LangChain's platform and product roadmap. You will be part of a team that is dedicated to operationalizing AI, ensuring that intelligent agents are not just theoretical possibilities but practical, reliable tools for businesses. This role demands a proactive, problem-solving mindset and a commitment to delivering exceptional technical guidance and support to our valued customers. You will be empowered to take ownership of outcomes and drive significant advancements in the field of AI agent deployment.
Skills & Technologies
Python
JavaScript
AWS
Azure
GCP
Onsite
$150k-250k
About LangChain, Inc.
LangChain, Inc. provides open-source software libraries and cloud services for building applications that integrate large language models with external data sources and workflows. Its tools help developers create retrieval-augmented generation systems, manage prompts, chain model calls, and monitor performance in production environments. The company was founded in 2023 and is headquartered in San Francisco, California.
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