# Deployed Engineer

**Company:** [LangChain](https://hotfix.jobs/companies/langchain)
**Location:** Remote
**Role:** Solutions Architecture
**Salary:** $150k – $250k/yr
**Experience:** 6+ years
**Skills:** Python, JavaScript, LangChain, LangGraph, llm evaluation, Observability, guardrails, AWS, GCP, Azure, Containers, Kubernetes, AI Agents, llm applications, systems fundamentals
**Posted:** 2026-08-03

> Build and deploy production AI agents with customer engineering teams, leading technical evaluations, architecture decisions, and post-sale adoption. The role requires 6+ years of relevant technical experience, strong Python and JavaScript skills, and hands-on experience with agent-based or LLM-powered applications.

## Job Description

## Responsibilities
- Co-architect and co-build production AI agents with customer engineering teams.
- Own the technical win in pre-sales by designing proofs of concept, answering deep technical questions, and guiding evaluations.
- Help customers deploy and operate agent-based applications, including 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 engineering, or product engineering; startup or scale-up experience is preferred.
- 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 proofs of concept, architecture reviews, and technical evaluations.
- Ability to explain technical tradeoffs clearly and build trust with developer audiences.
- Ownership of outcomes, not just recommendations.
- Bias toward action and ability to figure things out in changing environments.
- Interest in operating AI agents in production rather than only building demos.

## Nice to Have
- Experience deploying AI agents in production, especially using LangChain, LangGraph, or similar frameworks.
- Experience with LLM evaluation, observability, or guardrails.
- Experience with cloud environments, containers, and basic Kubernetes concepts.
- Experience shipping and operating production software under real-world constraints.

## Compensation and Benefits
- Annual OTE range: **$150,000–$250,000 USD**.
- Compensation may include base salary, variable compensation, meaningful equity, benefits, and perks; offerings vary based on role, level, and location.
- Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and meals on in-office days in the US.

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**Apply:** https://hotfix.jobs/jobs/ea79b28a-20d3-4e3e-ab54-1dbc936d3512
**Canonical:** https://hotfix.jobs/jobs/ea79b28a-20d3-4e3e-ab54-1dbc936d3512