Senior AI Engineer

About the job

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. Job Summary We are seeking a highly skilled AI Engineer with 5+ years of overall experience in software development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures. This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms. Responsibilities • Agentic AI Development: Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries. Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration. • RAG Pipelines: Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses. • LLM Engineering: Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation. Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques. • Enterprise AI Platform: Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols. Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents. • MLOps & Observability: Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions. • Applied AI Prototyping: Rapidly prototype, experiment, and iterate to improve AI agent capabilities. • Collaboration & Research: Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings. Collaborate effectively with other engineers, researchers, and data scientists. Contribute to the documentation and standardization of technical code and practices.

Requirements

• Python
• Data Science
• Machine Learning
• Agentic AI
• MLOps

Qualifications

• Bachelor’s degree in Computer Science or related field
• 5+ years of experience in software development, data science, or machine learning

Preferred Technologies

• Python
• Data Science
• Machine Learning
• Agentic AI
• MLOps

About the company

UPS is a Fortune Global 500 organization known for its extensive logistics and package delivery services. The company values innovation and is focused on building a diverse workplace where employees are encouraged to grow their skills.