Remote Lead AI Engineer: Build Scalable AI for Commerce

Feedonomics; Austin, Atlanta (TX, GA); Hybrid; USD 182,000 - 259,000; Full time

Job summary

Commerce is seeking a Lead AI Software Engineer to design and deliver AI-powered product solutions across the business. You will collaborate with senior Product and Engineering leaders to shape strategy, mentor teams, and accelerate experiments from concept to production at scale.

You will own end-to-end implementation of agentic AI systems, implement secure, scalable architectures, and ensure ROI via careful tradeoffs.

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.
• Experience with data pipelines and e-commerce data models is highly preferred.

Responsibilities

• Interface with team members and stakeholders to provide context, direction and technical guidance.
• Collaboratively contribute to high level designs and ensure strategic alignment.
• Serve as lead engineer for major AI initiatives and translate designs to implementation.
• Build scalable, secure, and cost-effective systems for very large scale.
• Shape the AI strategy with Product & Engineering leadership.
• Assess options to optimize ROI and enable rapid experimentation.

Skills

Python

Go/Java

LLMs & GenAI

RAG pipelines

API architecture

Cloud platforms

MLOps

Leadership

ROI optimization

Education

Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience

Tools

Vector databases

Model orchestration tools

Inference frameworks

Cloud-native ML workflows

Job description

Commerce is seeking a Lead AI Software Engineer to design and deliver AI-powered product solutions across the business. You will collaborate with senior Product and Engineering leaders to shape strategy, mentor teams, and accelerate experiments from concept to production at scale.

You will own end-to-end implementation of agentic AI systems, implement secure, scalable architectures, and ensure ROI via careful tradeoffs.