Senior AI Engineer

About the job

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. Responsibilities: • 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. • Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses. • Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation. • Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols. • Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions. • Rapidly prototype, experiment, and iterate to improve AI agent capabilities. • 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. Required Education Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus. Required Experience • 5+ years of overall experience in software development, data science, or machine learning. • 1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures. • 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools. Required Technical Skills • Strong programming skills in Python and basics in SQL. • Expertise with LLM/SLM APIs, embeddings, and RAG systems. • Experience deploying on Google Cloud Platform (GCP) with Vertex AI, and IBM WatsonX. • Familiarity with agentic AI protocols and exposure to Agent Development Kits (ADKs). Preferred Qualifications • Experience implementing Model Context Protocol (MCP) for agent coordination. • Prior exposure to LangGraph, AutoGen, or related orchestration frameworks. • Knowledge of MLOps best practices (CI/CD for ML, observability, monitoring, scaling). • Familiarity with responsible AI principles (safety, fairness, interpretability). • Experience in enterprise-scale deployments of AI-driven platforms. • Contributions to open-source AI/ML projects are a plus.

Requirements

• Python
• LLMs
• LangChain
• MLOps
• GCP

Qualifications

• Bachelor's Degree
• Master's Degree
• Ph.D.

Preferred Technologies

• Python
• LLMs
• LangChain
• MLOps
• GCP

About the company

UPS is a global package delivery and supply chain management company with operations in over 220 countries and territories.