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Logistics at full potential.
Senior Engineer, AI
Location
United States
Posted
66 days ago
Salary
0
Seniority
Senior
Job Description
Senior Engineer, AI
GXO Logistics, Inc.
• 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), LLM orchestration frameworks, 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.
Job Requirements
- 3–5 years of experience in software engineering, AI/ML engineering, or data science, with at least 1 year focused on agentic AI development.
- Hands-on experience with AI agent development frameworks (e.g., Google’s Agent Development Kit, OpenAI Agents SDK).
- Knowledge of MCP and A2A protocols.
- Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable).
- Expertise in Python, APIs, SQL, system design, DevOps/AIOps, and familiarity with JavaScript and frontend frameworks.
- Experience in monitoring, troubleshooting, and optimizing deployed solutions.
- Strong analytical and problem-solving skills.
Benefits
- full health insurance (medical, dental and vision)
- 401(k)
- life insurance
- disability
- opportunity to participate in a company incentive plan
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