# Deployed Engineer (Seattle)

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** Seattle, WA
**Role:** Solutions Architecture
**Salary:** $165k – $280k/yr
**Experience:** 5+ years
**Skills:** Python, JavaScript, LangChain, LangGraph, LLMs, AWS, GCP, Azure, Kubernetes, Llm Evaluation, Observability, Guardrails
**Posted:** 2026-05-11

> Deployed Engineer co-architects and builds production AI agents with customers, owns pre-sales technical wins via POCs and evaluations, and advises on deployment and operations. Requires 5+ years experience, strong Python/JavaScript, and expertise in agent-based LLM applications.

## Job Description

## What You’ll Do
- 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

## What You’ll Bring
- 5+ 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
- Are 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
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos

## Nice to Have’s
- You’ve deployed AI agents in production, especially using **LangChain**, **LangGraph**, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (**AWS**, **GCP**, **Azure**), containers, and basic **Kubernetes** concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints

## Compensation
Annual OTE range: **$165,000–$280,000 USD**

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**Apply:** https://hotfix.jobs/jobs/33e5c520-06a5-42fd-9675-818e60a6a257
**Canonical:** https://hotfix.jobs/jobs/33e5c520-06a5-42fd-9675-818e60a6a257