Summary: As an AI Intern, you will support engineering and research initiatives, gaining hands-on experience with agentic systems, LLMs, and RAG while working with experienced ML/NLP engineers. Highlights: 1. Support cutting-edge AI engineering and research initiatives. 2. Gain hands-on experience with LLMs, RAG, and agentic systems. 3. Learn best practices in software engineering and NLP deployment. We are Progress (Nasdaq: PRGS) \- the trusted provider of software that enables our customers to develop, deploy and manage responsible, AI\-powered applications and experiences with agility and ease. We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as an **AI Intern** and help us do what we do best: propelling business forward. As an AI Intern, you’ll support both engineering and research initiatives. You’ll help evaluate cutting\-edge research projects, experiment with novel features, and gain hands\-on experience with agentic systems, LLMs, and retrieval\-augmented generation (RAG). You will work with experienced ML/NLP engineers, researchers and software developers, and architects. Getting to know the insides of a cutting\-edge ML production environment. **In this role, you will:** * Assist in building, testing, and evaluating components of RAG pipelines (e.g., document processing, embedding, retrieval, answer generation). * Experiment with LLMs and help integrate them into agentic workflows. * Support the team in evaluating relevant recently released research. * Learn best practices in software engineering and NLP deployment. * Contribute to internal documentation and tooling. **Your Background:** * Excellent communication and team collaboration skills. * Currently pursuing or recently completed a degree in Computer Science, Engineering, or a related field. * Some experience with Python and passionate about NLP or ML. * Eager to learn about LLMs, RAG, and agentic systems. * Advanced English proficiency. **Additionally, it would be beneficial if you have:** * Strong Communication and interpersonal skills (Spoken and written). * Tinkered with NLP or ML in personal projects or shared something on GitHub. * Played around with Python libraries like PyTorch, Hugging Face, or similar tools used in NLP/ML. * Tried using SDKs from LLM providers such as OpenAI, Anthropic, or Gemini, even very simple experiments. * Basic understanding of what vector databases are and how they are used. **If this sounds like you and fits your experience and career goals, we’d be happy to chat.** **Apply now!** \#LI\-Hybrid \#LI\-DG1