Job Overview
Location
Denver, CO
Job Type
Full-time
Category
Software Engineering
Date Posted
April 22, 2026
Full Job Description
đź“‹ Description
- • As a Deployed Engineer at LangChain, you will work directly with customer engineering teams to co-architect and co-build production AI agents that solve real-world problems, moving beyond prototypes to reliable, scalable systems used by enterprises.
- • Your day-to-day will involve designing proof-of-concepts, guiding technical evaluations, deploying and operating agent-based applications (such as conversational and research agents), advising on architecture and best practices, running workshops, and contributing reusable patterns and code based on field feedback.
- • You’ll join a fast-growing, well-funded AI infrastructure company backed by top-tier investors, where your work directly impacts how organizations like Replit, Coinbase, and Fortune 500 firms build and operate AI agents in production.
- • This role offers the opportunity to deepen your expertise in applied AI systems, gain end-to-end ownership of customer-facing technical solutions, and shape reusable engineering practices that scale across LangChain’s platform and customer base.
🎯 Requirements
- • 3+ years in a relevant technical role such as software engineering, customer engineering, solutions engineering, or founding/product engineering, preferably in a startup or scale-up environment
- • Strong proficiency in Python and JavaScript, along with solid systems fundamentals
- • Experience designing agent-based or LLM-powered applications that go beyond simple API calls, including multi-step workflows, orchestration, and failure handling
🏖️ Benefits
- • Medical, dental, and vision coverage
- • Flexible vacation policy
- • 401(k) retirement plan
- • Meals provided on in-office days in the US
Skills & Technologies
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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