GenAI Engineering Internship Program (She/He/They)
Accenture Polska•Warsaw, Krakow
💰 Wynagrodzenie
Widełki nieujawnione
📋 Informacje
🛠 Wymagane technologie
🌐 Wymagane języki
📝 Opis główny / Wstęp
Accenture is a leading global professional services company that helps the world’s leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services. We offer solutions and assets across Strategy & Consulting, Technology, Operations, Industry X, and Accenture Song.
Data & AI is one of Accenture’s fastest‑growing areas, where we design and deliver practical business solutions powered by advanced analytics, machine learning, and Generative AI. Our teams work with modern technologies, combining strong engineering skills with real business impact.
An internship at Accenture offers hands‑on experience, learning from experienced engineers and consultants, and the opportunity to contribute to innovative GenAI‑based projects for global clients
THE WORK:
- Support the team in building and develop 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
Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office - depending on specific project circumstances.
BONUS POINTS IF U 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)