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# Junior AI Native Engineer

- **Company:** Accenture
- **Location:** Inconnu, France
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** HTML, Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cascading Style Sheets (CSS), Databases, Computer Engineering, Python (Programming Language), NoSQL, Commercial Software, Software Engineering, SQL Databases, TypeScript, Large Language Models, Backend, Kubernetes, Information Technology, Low Latency, Production Code, Web Technologies, Docker
- **Published:** July 24, 2026
- **Apply:** https://www.accenture.com/fr-fr/careers/jobdetails?id=R00346080_fr-fr

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field

 * Commercial software engineering experience in production environments (or equivalent demonstrated through academic projects, internships, or shipped personal projects)

 * Proficiency in at least one primary backend language: Python, Java, or TypeScript

 * Demonstrated hands-on experience using AI tools actively in day-to-day engineering work - with practical examples of how AI was used to solve real problems, iterate on outputs, and improve delivery; including direct experience calling LLM APIs in production code with an understanding of token management, latency, and cost tradeoffs

 * Basic understanding of web technologies including JavaScript, HTML, and CSS

 * Familiarity with cloud fundamentals (AWS, Azure, or GCP), containers (Docker), and CI/CD pipelines

 * Understanding of Agile delivery fundamentals

 * Experience with databases - SQL or NoSQL

 * Ability to validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use

 * Familiarity with agentic system concepts - awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required



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