AI Engineer: Enterprise AI Systems (Hybrid)

J Harlan Group, LLC; New York (NY); Hybrid; USD 121,000 - 206,000; Full time

Benefits offered by this job

Hybrid work

Competitive pay

Health benefits

Tuition assistance

PTO

Job summary

J Harlan Group, LLC seeks an AI Software Engineer to join NYC AI Labs – Investment Management. You will design, develop, test, and deploy AI agents and intelligent systems for modern cloud-based architectures in a Build-Operate-Transfer model, collaborating with engineers, product owners, and business partners.

This hands-on role focuses on applying practical AI technologies to build reliable, scalable, production-quality enterprise systems, with an emphasis on end-to-end delivery and

Qualifications

• BS or MS in Computer Science or a related technical field (or equivalent).
• 2+ years of professional development in an OO language (Java, Python, or JavaScript).
• Hands-on with cloud-native architectures (AWS, Azure) and containerized microservices.
• Interest in AI-enabled systems and agent-oriented applications.

Responsibilities

• Design, build, test, and deploy AI agents and intelligent systems for cloud-based architectures.
• Collaborate with engineers, product owners, and business partners on workflows and insights.
• Contribute to incubation efforts and prepare solutions for production adoption.
• Support transition of capabilities through Build-Operate-Transfer with business teams.
• Contribute to reusable AI capabilities across agent orchestration, tool use, and observability.
• Promote engineering excellence through automated testing, code reviews, and CI/CD.

Skills

OO languages

Cloud-native architectures

AI-enabled systems

Agent orchestration

Automation & CI/CD

Problem solving

Education

BS or MS in Computer Science or related field

Tools

Docker

Kubernetes

AWS

Azure

Job description

J Harlan Group, LLC seeks an AI Software Engineer to join NYC AI Labs – Investment Management. You will design, develop, test, and deploy AI agents and intelligent systems for modern cloud-based architectures in a Build-Operate-Transfer model, collaborating with engineers, product owners, and business partners.

This hands-on role focuses on applying practical AI technologies to build reliable, scalable, production-quality enterprise systems, with an emphasis on end-to-end delivery and