Production AI Agent Engineer & Deployment Lead

OpenTalent; Raleigh (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

LangChain is seeking a Deployed Engineer to tackle the hardest problems in applied AI—production systems that teams rely on, not demos. You’ll work with customer engineering teams to design, build, and operate scalable AI agents.

You’ll co‑architect production workflows, lead pre‑sales technical wins with POCs, and mentor others through workshops. This role blends engineering, product, and customer success in a fast‑growing startup.

Qualifications

• 3+ years in a relevant technical role, startup or scale-up experience preferred.
• Strong Python and JavaScript skills with systems fundamentals.
• Experience designing agent-based or LLM-powered applications beyond simple API calls.
• Comfortable working directly with customers during POCs and architectural reviews.

Responsibilities

• Co-architect and co-build production AI agents with customer 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

Skills

Python

JavaScript

Systems fundamentals

Customer engagement

Agent-based apps

LLM workflows

Problem solving

Tools

AWS/GCP/Azure

Containers (Docker)

Kubernetes basics

Job description

LangChain is seeking a Deployed Engineer to tackle the hardest problems in applied AI—production systems that teams rely on, not demos. You’ll work with customer engineering teams to design, build, and operate scalable AI agents.

You’ll co‑architect production workflows, lead pre‑sales technical wins with POCs, and mentor others through workshops. This role blends engineering, product, and customer success in a fast‑growing startup.