AI/ML Intern

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. For more information, visit www.jaggaer.com

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.

ROLE 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.

WHAT YOU WILL BRING

· 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.

· Exposure to LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, or similar) is a plus.

· Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

· Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) and embedding techniques is a plus.

· 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.

SUCCESS IN THIS POSITION

· Demonstrates strong problem-solving skills and a passion for applying AI to real-world procurement challenges

· Collaborates effectively with engineers, data scientists, and product managers to deliver AI-powered solutions

· Embraces rapid prototyping and iterative experimentation—comfortable with ambiguity and evolving AI technologies

· Balances research exploration with a bias toward shipping—turning AI experiments into production-ready features

· Takes initiative in learning new AI tools, techniques, and frameworks with minimal direction

· Brings fresh ideas on how AI can improve our products, processes, and customer outcomes

· Finds genuine excitement in pushing the boundaries of what AI can do for enterprise procurement

WHAT WE OFFER

We strive to support our Rockstar’s & their families. Your health & wellbeing are important. JAGGAER offers a variety of programs to help you manage your overall wellness and be your best self.

At JAGGAER you’ll find great medical plans, adoption benefits, wellness reimbursement, generous parental leave, 401(k) match, a flexible work environment, no limit vacation days for exempt employees and much more!

OUR VALUES

Our values are at the core of who we are at JAGGAER. You will see these values entrenched in how we support our customers, work with team members, build our products and in the culture we’ve created.

Passion: Our team is passionate about the work we do and the impact we’re making.

Humility: We respect and learn from our teammates in pursuit of the larger company mission – to simplify procurement with a relentless customer focus.

Empathy: We constantly seek to understand the perspectives of teammates, customers, partners, and other members of our community.

Transparency: We’re clear about our plans, processes, and goals so nothing comes as a surprise.

Accountability: We measure ourselves against the expectations of our customers and stakeholders, as well as our community at large.

EEO

JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, or other applicable legally protected characteristics.

ACCESSIBILITY

JAGGAER is committed to providing access and reasonable accommodation to applicants. If you are a qualified individual with a disability or a disabled veteran and you think you may require an accommodation for any part of the recruitment process, please send a request to: hr@jaggaer.com All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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.

ROLE 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.

WHAT YOU WILL BRING

· 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.

· Exposure to LLM frameworks and tools (e.g., LangChain, LlamaIndex, OpenAI API, or similar) is a plus.

· Foundational understanding of machine learning concepts, NLP, and deep learning architectures.

· Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB, FAISS) and embedding techniques is a plus.

· 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.

SUCCESS IN THIS POSITION

· Demonstrates strong problem-solving skills and a passion for applying AI to real-world procurement challenges

· Collaborates effectively with engineers, data scientists, and product managers to deliver AI-powered solutions

· Embraces rapid prototyping and iterative experimentation—comfortable with ambiguity and evolving AI technologies

· Balances research exploration with a bias toward shipping—turning AI experiments into production-ready features

· Takes initiative in learning new AI tools, techniques, and frameworks with minimal direction

· Brings fresh ideas on how AI can improve our products, processes, and customer outcomes

· Finds genuine excitement in pushing the boundaries of what AI can do for enterprise procurement

EEO

JAGGAER is a proud equal opportunity/affirmative action employer supporting workforce diversity. We do not discriminate based upon race, ethnicity, ancestry, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), marital status, caregiver status, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, genetic information, military or veteran status, mental or physical disability, or other applicable legally protected characteristics.

ACCESSIBILITY

JAGGAER is committed to providing access and reasonable accommodation to applicants. If you are a qualified individual with a disability or a disabled veteran and you think you may require an accommodation for any part of the recruitment process, please send a request to: hr@jaggaer.com All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.