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. This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. 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. 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 overall experience in software development, data science, or machine learning. • 1+ year of hands-on experience developing AI applications with LLMs. • 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).

Requirements

• Python
• SQL
• LLM/SLM APIs
• embeddings
• RAG systems
• Google Cloud Platform
• IBM WatsonX
• Agent Development Kits

Qualifications

• Bachelor’s degree in Computer Science
• Engineering
• related quantitative field

Preferred Technologies

• Python
• SQL
• LLM/SLM APIs
• embeddings
• RAG systems
• Google Cloud Platform
• IBM WatsonX
• Agent Development Kits

About the company

UPS is a Fortune Global 500 organization focused on innovative possibilities and providing a rewarding culture to its employees. They emphasize an environment for personal and professional growth through collaboration with talented teams.