Senior AI Engineer

Job description

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 software solutions Strong analytical, problem-solving, and decision-making skills Ability to manage multiple priorities and thrive in a fast-paced, innovative environment It'd be great if you also have: Master's degree or other advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline Experience with advanced AI techniques, including fine-tuning large language models and developing custom AI algorithms Familiarity with logistics, supply chain, warehouse management, or transportation management systems Experience with Snowflake and related data platforms Hands-on experience with GCP Vertex AI Agent Builder Experience deploying enterprise-scale AI solutions in production environments Background supporting AI governance, model evaluation, and responsible AI initiatives We engineer faster, smarter, leaner supply chains. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity employer including Disabled/Veterans. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.