GenAI Engineering Internship Program (She/He/They)

Accenture is a leading global professional services company with approximately 791,000 people serving clients in more than 120 countries. The company helps businesses, governments, and other organizations build their digital core, optimize operations, accelerate revenue growth, and enhance citizen services. Accenture offers solutions across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song. The Data & AI area focuses on practical business solutions powered by advanced analytics, machine learning, and Generative AI.

• Active student status and availability of at least 30 hours per week
• Basic knowledge of Python, Git, and REST APIs
• Interest in Generative AI / LLMs and familiarity with modern AI tools
• First technical projects (academic, personal, or hackathon-based)
• Curiosity, willingness to learn, and good communication skills
• Communicative level of English and Polish

Nice to have:

• Basic understanding of LLMs, embeddings, and semantic search
• Familiarity with concepts such as RAG, vector databases, or prompt engineering
• Introductory experience with agentic frameworks (e.g. LangChain, LangGraph)
• GitHub portfolio, hackathons, or other hands-on AI / software projects
• Basic knowledge of cloud platforms (Azure, AWS, or GCP)

• Support the team in building and developing GenAI-based prototypes and solutions using Python
• Assist in creating and testing GenAI use cases such as automation, conversational analytics, information extraction, and RAG solutions
• Evaluate the quality of model outputs and identify errors or potential hallucinations
• Learn effective prompt design, model context handling, and LLM limitations
• Collaborate with experienced engineers and consultants on client projects
• Support documentation, demos, and iterative improvement of solutions

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.