Remote AI Lead Engineer for Scalable Systems

Commerce; Atlanta (GA); Remote; USD 182,000 - 259,000; Full time

Job summary

Commerce is pursuing a bold AI-enabled commerce ecosystem, seeking an experienced AI Leader to design and ship agentic AI products at scale. You will work with senior engineers and product leaders to implement end-to-end AI solutions that deliver measurable business impact across our platforms.

The role emphasizes collaboration, architectural leadership, and ownership of high-level designs translated into implementable systems. Remote-first with global teams and flexible hubs.

Qualifications

• Significant experience architecting and shipping Agentic AI systems in production.
• Strong server-side engineering in Python, Go, Java, or similar.
• Experience building product solutions with LLMs and GenAI technologies.
• Familiarity with modern AI infrastructure and cloud platforms.

Responsibilities

• Interface with team members and stakeholders to provide context, direction and technical guidance.
• Lead engineer for major AI initiatives, developing low level designs and orchestrating cross-team work.
• Drive quick-turnaround solutions balancing delivery speed, scalability and reliability.
• Shape and execute the AI strategy with Product & Engineering leadership.
• Assess technology options to optimize ROI and fit for purpose.

Skills

Agentic AI systems

Server-side engineering

LLMs & GenAI

Cloud platforms (AWS/GCP/Azure)

API architecture

MLOps

Education

Bachelor's degree in CS/EE/SW/CE/MIS

Tools

Vector databases

Model orchestration tools

Inference frameworks

Job description

Commerce is pursuing a bold AI-enabled commerce ecosystem, seeking an experienced AI Leader to design and ship agentic AI products at scale. You will work with senior engineers and product leaders to implement end-to-end AI solutions that deliver measurable business impact across our platforms.

The role emphasizes collaboration, architectural leadership, and ownership of high-level designs translated into implementable systems. Remote-first with global teams and flexible hubs.