AI Intern

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!

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