Senior AI Engineer (Remote, VA, US, 99999)
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.
As an AI Engineer, you will be responsible for designing, developing, deploying, and maintaining AI-powered solutions that enhance supply chain operations and business processes. You will leverage the latest advancements in generative AI, agentic AI, machine learning, and cloud technologies to build scalable, secure, and high-performing solutions. Working closely with business stakeholders, product teams, and IT partners, you will help drive innovation and deliver transformative AI capabilities across the organization.
Pay, Benefits and More
We are eager to attract the best talent, so we offer competitive compensation and a generous benefits package, including comprehensive health insurance (medical, dental, and vision), a 401(k) retirement savings plan, life insurance, disability coverage, paid time off, and more.
What you'll do on a typical day:
- Design, develop, deploy, and maintain AI agents and software solutions that enhance and support supply chain operations and technology
- Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents for enterprise use cases
- Ensure software engineering, DevOps, and cybersecurity best practices are incorporated into all development and deployment activities, including CI/CD pipelines, source control, and secure coding standards
- Design and develop, or collaborate with data engineering teams to build, data models and pipelines that support AI solutions while ensuring scalability, reliability, and data quality
- Develop AI agent software and system integrations using Python, SQL, and modern application frameworks such as Flask and FastAPI
- Build agile, scalable, and portable AI solutions leveraging containerization technologies including Docker and Kubernetes
- Partner with business and product stakeholders to understand requirements, identify opportunities, and educate teams on AI capabilities and best practices
- Collaborate closely with infrastructure, Information Security, and data engineering teams to define requirements and ensure seamless integration of AI solutions
- Communicate project status, risks, and opportunities effectively with leadership and key stakeholders
- Take ownership of projects from concept through production deployment with minimal supervision
- Mentor junior engineers through code reviews, pair programming, technical coaching, and architectural guidance
- Stay current on emerging AI technologies, industry trends, and best practices while contributing to the organization’s AI strategy and roadmap
What you need to succeed:
At a minimum, you'll need:
- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field, or equivalent experience
- 3 to 5 years of experience in software engineering, AI/ML engineering, or data science, including at least 1 year focused on agentic AI development
- Hands-on experience with AI agent development frameworks such as Google's Agent Development Kit or OpenAI Agents SDK
- Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols
- Strong proficiency with cloud environments, preferably Google Cloud Platform (GCP), with experience in AWS or Azure also considered
- Advanced experience with Python, APIs, SQL, system design, DevOps/AIOps practices, and familiarity with JavaScript and modern frontend technologies
- Experience monitoring, troubleshooting, and optimizing production AI and