Junior AI Native Engineer

Accenture

Inconnu, France

18 days ago

Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Experience level

Starter

Working hours

Regular working hours

Job source

www.accenture.com

Tech stack

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

+11 more

Software Engineering SQL Databases TypeScript Large Language Models Backend Kubernetes Information Technology Low Latency Production Code Web Technologies Docker

Requirements

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