GenAI Engineering Internship: Remote, Paid & Growth

4900 Accenture Sp. z o.o. Company; Warszawa; Hybrid; PLN 20,000 - 31,000; Full time

Benefits offered by this job

Paid internship program

Potential long-term cooperation

Mentorship from experts

Flexible hours and remote options

Job summary

Accenture Sp. z o.o. Company in Warsaw is offering a paid GenAI internship to develop prototypes using Python, test GenAI use cases, and learn from senior engineers and consultants on real client projects.

You will be an active student with at least 30 hours per week, familiar with Python, Git, REST APIs, and English/Polish communication, with flexible work arrangements including remote work and some onsite assignments.

Qualifications

• Active student status
• Availability of at least 30 hours per week
• Interest in Generative AI / LLMs and familiar with AI tools
• First technical projects (academic, personal, or hackathon-based)
• Curiosity, willingness to learn, and good communication skills
• Communicative level of English and Polish

Responsibilities

• 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: work location may include remote, onsite at a client or in an Accenture office depending on project circumstances

Skills

Python

Git

REST APIs

GenAI / LLMs

Tools

LangChain

LangGraph

Job description

Accenture Sp. z o.o. Company in Warsaw is offering a paid GenAI internship to develop prototypes using Python, test GenAI use cases, and learn from senior engineers and consultants on real client projects.

You will be an active student with at least 30 hours per week, familiar with Python, Git, REST APIs, and English/Polish communication, with flexible work arrangements including remote work and some onsite assignments.