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:

• Utilize, produtctize, and fine-tune LLMs and multimodal models | Use frameworks like Hugging Face Transformers, ADK, Copilot Studio
• Integrate GenAI into supply chain tools | Develop APIs and user-facing applications using Python, FastAPI, or similar
• Design and optimize prompts for LLMs | Ensure high-quality outputs for summarization, Q&A, and task automation
• Prepare and curate datasets for GenAI training | Work with structured and unstructured data (e.g., documents, logs, emails)
• Evaluate model performance and safety | Use metrics like BLEU, ROUGE, hallucination rate, and user feedback
• Work with product, operations, and data teams | Translate supply chain needs into GenAI solutions
• Deploy GenAI models and monitor performance | Use tools like Docker, Kubernetes, and MLflow
• Stay current with GenAI advancements | Prototype new capabilities and assess feasibility for logistics use cases

What you need to succeed at GXO:

At a minimum, you’ll need:

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Economics, Physics or another analytics-related field, or equivalent related work or military experience
• 3–5 years in AI/ML engineering or Data Science, with at least 1 year focused on GenAI or NLP applications.
• GenAI Expertise: Experience with LLMs (e.g., GPT, Gemini), prompt engineering and tuning.
• Programming Proficiency: Strong Python skills; familiarity with GenAI libraries (Transformers, LangChain, OpenAI, etc.).
• Application Development: Ability to build APIs and integrate AI into cloud-based products.

It’d be great if you also had:

• Data Handling: Experience with NLP preprocessing, vector databases (e.g., FAISS, Pinecone), and embeddings.
• Cloud & MLOps: Familiarity with AWS/ GCP /Azure, Docker, Kubernetes, and CI/CD pipelines.
• Communication: Ability to explain GenAI concepts to technical and non-technical stakeholders.

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/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status.

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.