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IBM

Stagiaire Développeur FullStack - IBM Client Innovation Center - H/F

IBM

Published 02 Apr 2026
Lille, France
Remote

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Role Highlights

Languages used

SQL

Key skills

Prompt Engineering
API
Cloud
AI
Data
Scrum
Frontend
Full Stack

Tools, Libraries and Frameworks

IOS
Red Hat
IBM
GCP
BigQuery
Vue.js

Description

\\\\Introduction\\\\ A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. Youll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, youll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. Youll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. \\\\Your role and responsibilities\\\\ Au sein de léquipe IT data/AI dun grand groupe français de la cosmétique, vous interviendrez en tant que développeur au sein dune Scrum Team afin de concevoir/délivrer un/des use cases autour de la GenAI et des approches agentiques. Ce stage se déroulera à Bois-Colombes. Vos missions seront : \\\ Analyser les besoins fonctionnels et techniques en lien avec les équipes produit et métier \\\ Concevoir, développer et maintenir des applications front-end et back-end \\\ Garantir la qualité, la performance, la sécurité et la maintenabilité du code \\\ Mettre en uvre des tests et assurer la correction des anomalies \\\ Participer aux déploiements et au suivi des applications en production \\\ Collaborer avec les équipes pluridisciplinaires et participer aux revues de code \\\ Documenter les développements et contribuer à lamélioration continue \\\\Required technical and professional expertise\\\\ \\\ Bonne maîtrise de Python \\\ Bonne maîtrise des APIs notamment FastAPI \\\ Maîtrise SQL car environnement GCP (BigQuery) \\\ Forte appétence pour la GenAI \\\ Bonne compréhension du fonctionnement des LLM \\\ Expérience ou intérêt pour : \\\ RAG \\\ Embeddings \\\ Prompt engineering IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Required Qualifications and Skills

The role requires a strong command of Python and APIs, particularly FastAPI. Proficiency in SQL is necessary due to the GCP environment, specifically BigQuery. A strong interest in Generative AI and a good understanding of how Large Language Models function are essential. Experience or interest in RAG, Embeddings, and Prompt Engineering is also noted.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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