AI / Data Engineer – Final-Year Internship

Job not on LinkedIn

🕒 September 30

🇫🇷 France – Remote

👨‍🎓 Internship

⚪️ Entry-level

🚰 Data Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Capgemini

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• Contribute to an R&D project led by the Capgemini Invent Lab • Participate in Data Engineering and GenAI / Agentic Engineering consulting engagements for Capgemini Invent clients • Build data pipelines for collecting, organizing, and modeling high-volume data • Perform document ingestion and parsing, chunking, embedding generation, and indexing in vector databases • Deploy complex infrastructures using infrastructure as code and continuous integration and deployment, on cloud providers or on premises • Deploy data and AI stacks, including data storage, model serving, LLM gateways, and agent orchestration • Design and industrialize LLM applications, RAG and advanced RAG architectures, and multi-agent systems with LangGraph • Implement agent tooling, context and memory management, and select models based on cost, latency, and data sovereignty requirements • Build evaluation datasets and metrics for relevance, hallucinations, cost, and latency • Set up production tracing and monitoring, and implement security, privacy, and AI Act compliance guardrails • Design, develop, and containerize REST API back-end applications incorporating data, AI, or LLM agents • Design the end-to-end architecture of data and AI stacks, taking security, scalability, auditability, and availability into account • Maintain technology watch on the GenAI and agentic ecosystem and share technological expertise

🎯 Requirements

• Currently in the final year of an engineering school or a Master’s degree (five-year higher education program) in computer science, data science, or artificial intelligence • Strong theoretical knowledge of data processing, data storage (databases, data lakes, and data warehouses), and data transport (batch and streaming) • Ability to develop in Python and deliver clean, documented, testable, and maintainable code • Initial knowledge of LLMs and GenAI—including prompt engineering, embeddings, RAG, and agent orchestration concepts—acquired through an academic or personal project or an internship • Bilingual in English and French • Mobile, curious, and adaptable • Strong team spirit and analytical skills • Critical mindset when assessing model-generated results • Enjoys rigorous experimentation

🏖️ Benefits

• Referral bonuses • Meal vouchers • Social and cultural activities offered by the employee representative committee (CSE) • Parenting support, including the option to work 90% part-time during school holidays • International network of Capgemini Invent consultants • Dedicated support through The Institute • Targeted training programs and workshops, such as the Consulting Skills Workshop • Opportunity to participate in InventX, a global training event held in Paris • Possibility of working remotely from France and internationally • Health and well-being initiatives, including a helpline and a dedicated platform • Inclusive networks including Women@Capgemini, Parents@Capgemini, OUTfront, and CapAbility • EDGE+ certified environment recognized by the Bloomberg Gender Equality Index