Senior Engineer, AI - Remote

Logistics at full potential.

At GXO, we're constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires.

You know that a positive work environment creates happy employees, which boosts productivity and dedication.

On our team, you'll have the support to excel at work and the resources to build a career you can be proud of.

We're out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision.

As an AI Engineer specializing in Generative AI products, you will design, develop, and deploy GenAI-powered applications that enhance supply chain operations.

You will work at the intersection of AI research and engineering, transforming large language models and multimodal systems into scalable, production-ready tools that drive automation, decision-making, and customer experience across GXO's logistics network.

Pay, benefits and more.

We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan.

What you'll do on a typical day:


* Design, develop, deploy, and maintain AI agents and software that enhance and support supply chain operations and technology.


* Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLMorchestrationframeworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents tailored to enterprise use cases.


* Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards.


* Design and build, or collaborate with data engineering teams to develop, data models and pipelines that support and feed AI solutions, ensuring scalability, reliability, and data quality.


* Develop AI agent software and integrations using Python, SQL, and frameworks such as Flask and FastAPI.


* Build agile and portable AI solutions using containerization tools like Docker and Kubernetes.


* Collaborate with business and product stakeholders to understand use cases and educate teams on AI capabilities.


* Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration.


* Communicate effectively with leadership to secure resources, address issues, and provide project updates.


* Take ownership of projects end-to-end with minimal supervision.


* Mentor junior engineers on best practices in AI and software development through pair programming, code reviews, and architectural guidance.


* Stay current on emerging AI technologies and trends and contribute to the organization's AI roadmap.

At a minimum, you'll need:


* 3-5 years of e...