AI/ML Intern

Jaggaer•Durham, NC

2d•Hybrid

About The Position

JAGGAER provides an intelligent Source-to-Pay and Supplier Collaboration Platform that empowers organizations to manage and automate complex processes while enabling a highly resilient, responsible, and integrated supplier base. With 30 years of expertise, we specialize in solving complex procurement and supply chain challenges across various industries. Our 1,300+ global employees are obsessed with ensuring customers get full value from our products - ultimately enhancing and transforming their businesses. JAGGAER is a proven industry leader of comprehensive sourcing & procurement solutions. Our SaaS-based, source-to-settle solution provides unparalleled visibility, insights and recommendations to procurement leaders and suppliers. The result is a fluid supply chain driven by powerful spend analysis, comprehensive contract management and efficient accounts payable solutions. We are seeking AI/ML Interns to join our AI & Innovation team. Our team is building the next generation of intelligent procurement solutions, leveraging Agentic AI, Retrieval-Augmented Generation (RAG), large language models (LLMs), and other cutting-edge AI technologies to transform how organizations manage sourcing and spend. As an intern, you will contribute to real AI projects from day one—designing and building RAG pipelines, prototyping agentic workflows, and integrating LLMs into our product ecosystem. You will collaborate closely with our engineering and data science teams to bring AI-driven features from concept to production. As an AI/ML Intern, we expect you will learn about JAGGAER’s business, our customers, and our technology while gaining hands-on experience with state-of-the-art AI tools and frameworks. You will have access to experienced engineers and researchers who are eager to mentor you and are equally interested in the fresh perspectives you bring. You will start working on meaningful AI projects right away.

Requirements

Currently pursuing a Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
Strong programming skills in Python; familiarity with AI/ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or scikit-learn.
Foundational understanding of machine learning concepts, NLP, and deep learning architectures.
Excellent communication, organization, and interpersonal skills with a genuine curiosity about emerging AI technologies.
Relevant coursework or personal projects in AI, machine learning, or NLP are highly valued.

Nice To Haves

Exposure to LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, or similar) is a plus.
Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) and embedding techniques is a plus.

Responsibilities

Design, develop, and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases, embedding models, and LLM APIs.
Prototype and build agentic AI workflows that autonomously plan, reason, and execute multi-step tasks within our procurement platform.
Evaluate and benchmark LLMs and AI models for accuracy, latency, cost, and relevance across different procurement use cases.
Develop and refine prompt engineering strategies to improve the quality and reliability of LLM-generated outputs.
Build data ingestion and preprocessing pipelines to prepare enterprise documents for embedding and retrieval.
Research emerging AI techniques (e.g., function calling, multi-agent orchestration, fine-tuning) and present findings to the team.
Contribute to our library of reusable AI components, tools, and integration patterns.
Participate in demos and feedback sessions to validate AI features with internal stakeholders and customers.
Document AI experiments, model performance metrics, and architectural decisions to build our team’s knowledge base.