Deployed AI Systems Engineer - Southeast

Langchain; Atlanta (GA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible vacation

401(k) plan

Life insurance

Job summary

A pioneering AI-focused technology company in Atlanta is seeking a Deployed Engineer to work on production AI agents. The role involves working closely with customer engineering teams, owning technical wins during pre-sales, and advising on post-sales architecture and best practices. Ideal candidates should have over 3 years in a relevant technical role, strong Python and JavaScript skills, and be excited to operate AI agents in real-world environments. Competitive compensation in a dynamic team setting.

Qualifications

• 3+ years in a relevant technical role, ideally in a startup or scale-up.
• Strong understanding of Python and JavaScript.
• Experience designing agent-based or LLM-powered applications.
• Comfortable working directly with customers.
• Ability to explain technical tradeoffs clearly.
• Take responsibility for outcomes.
• Bias toward action and problem-solving.
• Excited about operating AI agents in production.

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.
• Advise customers post-sale on architecture and best practices.
• Run technical demos, trainings, and workshops.
• Surface field feedback and contribute reusable patterns.
• Occasionally contribute code upstream for customer outcomes.

Skills

Python

JavaScript

Systems fundamentals

Customer engineering

Solutions engineering

Multi-step workflows

Orchestration

Failure handling

Tools

LangChain

LangGraph

AWS

GCP

Azure

Kubernetes

Job description

A pioneering AI-focused technology company in Atlanta is seeking a Deployed Engineer to work on production AI agents. The role involves working closely with customer engineering teams, owning technical wins during pre-sales, and advising on post-sales architecture and best practices. Ideal candidates should have over 3 years in a relevant technical role, strong Python and JavaScript skills, and be excited to operate AI agents in real-world environments. Competitive compensation in a dynamic team setting.