Production AI Agent Engineer

LangChain; Dallas (TX); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equity

401(k) plan

Medical, dental, and vision coverage

Job summary

LangChain in the United States is seeking a Deployed Engineer to tackle the hardest problems in applied AI, building production systems that real teams rely on. You will collaborate with customer engineers from pre-sales through post-deployment, shaping agent architectures and ensuring reliable operation at scale.

You’ll co-design production AI agents, own the technical win during POCs, help deploy agent-based apps, and advise on architecture and best practices while traveling up to 40% to meet

Qualifications

• 6+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering)
• Strong Python and JavaScript skills with solid systems fundamentals
• Experience designing agent-based or LLM-powered applications beyond simple API calls
• Comfortable working directly with customers during POCs, architecture reviews, and evaluations

Responsibilities

• Co-architect and co-build production AI agents with customer engineering teams
• Own the technical win in pre-sales by designing POCs and guiding evaluations
• Help customers deploy and operate agent-based applications such as conversational agents and multi-step workflows
• Advise customers post-sale on architecture, best practices, and roadmap decisions
• Run technical demos, trainings, and workshops for developer audiences
• Surface field feedback and contribute reusable patterns and example code

Skills

Python

JavaScript

Systems fundamentals

Agent-based design

Tools

AWS

GCP

Azure

Kubernetes concepts

Job description

LangChain in the United States is seeking a Deployed Engineer to tackle the hardest problems in applied AI, building production systems that real teams rely on. You will collaborate with customer engineers from pre-sales through post-deployment, shaping agent architectures and ensuring reliable operation at scale.

You’ll co-design production AI agents, own the technical win during POCs, help deploy agent-based apps, and advise on architecture and best practices while traveling up to 40% to meet