GXO Logistics, Inc.Remote
Senior Engineer, AI - Remote
United States of America
Full-time
1 week ago
H1B Sponsor Likely
Key skills
AI agent developmentPythonCloud environmentsDevOps/AIOpsSQLData modelingContainerization toolsAnalytical skillsProblem-solving skillsMentoringJavaScriptAIMLGenerative AIGenAILLMOpenAIData EngineeringSnowflakeFastAPIFlaskAWSAzureGCPKubernetesDockerVertex AISource ControlAgileCI/CDLeadership
About this role
GXO Logistics, Inc. is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. As an AI Engineer specializing in Generative AI products, you will design, develop, and deploy GenAI-powered applications that enhance supply chain operations.
Responsibilities:
- 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
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
- Advanced degree in a relevant field
- Experience in advanced AI techniques, such as fine-tuning LLMs or developing custom AI algorithms
- Familiarity with logistics systems (e.g., WMS)
- Experience with Snowflake and its ecosystem
- Hands-on experience with GCP Vertex AI Agent Builder