Deployed Engineer (AI)

TL;DR

Deployed Engineer (AI): Co-architecting and building production AI agents for customers with an accent on agent architectures and reliable scale. Focus on designing POCs, solving complex orchestration challenges, and transitioning prototypes to production-ready systems.

Location: Remote (Must be based in the USA), Houston, TX

Salary: $150,000–$250,000 USD (Annual OTE)

Company

LangChain builds the foundation for agent engineering, providing tools and a platform (LangSmith) to deploy and operate AI agents at scale.

What you will do

• Co-architect and build production AI agents alongside customer engineering teams.
• Own the technical win in pre-sales by designing POCs and guiding technical evaluations.
• Advise customers post-sale on agent architecture, best practices, and roadmap decisions.
• Run technical demos, trainings, and workshops for developer audiences.
• Surface field feedback to contribute reusable patterns and example code to the platform.
• Travel to customers up to 40% of the time.

Requirements

• 6+ years in a relevant technical role (software, customer, or founding engineering), ideally in a startup or scale-up.
• Strong proficiency in Python, JavaScript, and systems fundamentals.
• Experience designing agent-based or LLM-powered applications including orchestration and failure handling.
• Comfortable working directly with customers during POCs and architecture reviews.
• Proven track record of deploying AI agents in production.
• Must be based in the US (implied by 401k and US-specific benefits).

Nice to have

• Experience using LangChain, LangGraph, or similar frameworks.
• Knowledge of LLM evaluation, observability, or guardrails.
• Experience with cloud environments (AWS, GCP, Azure) and Kubernetes concepts.

Culture & Benefits

• Comprehensive medical, dental, and vision coverage.
• Flexible vacation and 401(k) plan.
• Meaningful equity in a high-growth AI company.
• Meals provided on in-office days in the US.