Deployed Engineer (Raleigh)

Stack

Responsibilities

• ▹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

Requirements

• ▹3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
• ▹Strong Python, JavaScript, and systems fundamentals
• ▹Have designed 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
• ▹Can explain technical tradeoffs clearly and build trust with developer audiences
• ▹Take responsibility for outcomes, not just recommendations
• ▹Bias toward action and enjoy figuring things out as you go
• ▹Excited about operating AI agents in production, not just building demos

Nice to have

• ▹Deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
• ▹Worked with LLM evaluation, observability, or guardrails
• ▹Experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
• ▹Shipped and operated production software, comfortable owning systems under real-world constraints

Soft skills

What we offer

• ▹Competitive base salary, variable compensation for relevant roles, meaningful equity
• ▹Medical, dental, and vision coverage
• ▹Flexible vacation
• ▹401(k) plan
• ▹Meals on in-office days (US)

About the company

LangChain's mission is to make intelligent agents ubiquitous, building open-source frameworks (LangChain, LangGraph, Deep Agents) and the LangSmith platform for building, evaluating, and operating agents. It has raised $125M at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, with 100M+ monthly open-source downloads and 6,000+ active LangSmith customers, including 5 of the Fortune 10.