Hiring.Camp

AI Engineer

Scaleway

·

Today

Location
Paris · Bordeaux · Lille · Lyon · Rennes · Rouen · Saint-Ouen l’Aumône · Toulouse
Workplace
Hybrid
Type
Full-time
Department
Engineering
Experience
1+ years
Source
Lever

Description

OUR STORY:
 
🇪🇺 Join Scaleway and shape the sovereign cloud of tomorrow !
Since 1999, we have been designing secure, sustainable infrastructures aimed at supporting the most ambitious companies.
 
Historically known for our dedicated servers (Dedibox), we made a strategic shift to cloud computing in 2015. Staying true to our principles of simplicity, flexibility, and technical excellence, we have become one of the leading players in Europe in the sector.
 
With the rise of artificial intelligence, we have strengthened our commitment, supported by the Iliad Group, which is investing €3 billion to develop a serious, sovereign AI alternative to American and Asian giants.
 
Every day, thanks to our fast-growing portfolio of cloud and AI products (bare metal, containerization, serverless, AI, etc.), Scaleway proudly serves thousands of customer across the private and public sector, from corporations like France Télévisions or Hachette Livre, to fast-growing startups like Photoroom and Biolevate, to institutions like the City of Copenhagen.
 
📍 Our offices are located in Paris, Lille, Toulouse, Rennes, Rouen, Bordeaux and Lyon.
 

WHY WE NEED YOU ?

As our AI initiatives continue to scale, we are strengthening our AI Tooling team to build and expand AI-native products used across Scaleway and the Iliad Group.

Your mission will be to design, build, and bring to production GenAI applications and agentic workflows, combining strong software engineering practices with a solid understanding of LLM technologies.

You will help turn emerging AI capabilities into reliable, useful products with real users and measurable business impact.

 

YOUR FUTURE TEAM

We work in a collaborative environment where experimentation, knowledge sharing, and a strong builder mindset help us turn emerging AI technologies into production-ready products.

You will join the AI Tooling team, composed of 6 people: 1 Engineering Manager, 2 AI Engineers working on cross-functional initiatives, and 3 AI Tooling Engineers supporting specific business units.

The team develops and operates AI-native products such as JeanCloud, as well as GenAI and agentic solutions for teams including Sales, S&OP, and Customer Care.

You will work closely with other AI Engineers on shared projects and collaborate regularly with our IT and Inference teams to bring new capabilities into production.

 

YOUR DAILY ROUTINE

  • Design, develop, and maintain AI-native applications powered by LLMs and agentic workflows
  • Build robust and maintainable backend services in Python
  • Maintain and improve existing GenAI products, including JeanCloud
  • Design and deliver new AI-powered features and internal tools from experimentation to production
  • Experiment with emerging LLM models, frameworks, and agentic patterns
  • Translate user and business needs into relevant, production-ready product feature
  • Contribute to technical architecture and product decisions within the team
  • Collaborate directly with internal users and partner teams to understand their needs and iterate on solutions
  • Monitor developments across the LLM / GenAI ecosystem and share relevant learnings with the team
  • Apply software engineering best practices around testing, deployment, Docker, GitLab, and CI/CD

 

ABOUT YOU

HARDSKILLS:

  • You have 1 to 3 years of experience in software engineering, AI engineering, or a related role
  • Strong foundations in Python backend development and software engineering
  • Already worked hands-on with LLMs, Generative AI, and/or agentic systems
  • Ideally, you have contributed to GenAI products used in production by real users, rather than exclusively research or proof-of-concept projects
  • Understand key Machine Learning / Data Science concepts related to LLM-based applications
  • Familiar with modern LLM frameworks such as LlamaIndex or LangChain
  • Comfortable with development and deployment tools such as Docker, GitLab, and CI/CD pipelines

Excellent junior profiles with significant software engineering and GenAI internship experience may also be considered.

SOFT SKILLS:

  • Product sensitivity and user-oriented mindset

  • High autonomy and strong organizational skills

  • Continuous curiosity and eagerness to stay ahead of AI technology trends

  • Strong communication and collaborative spirit

 

WHAT YOU WILL FIND AT SCALEWAY ++++

  • Hybrid work: We offer up to 3 days of remote work per week.
  • Offices: Our offices are spacious, dynamic workspaces with bold design, conveniently located near public transport. Most of our offices feature outdoor spaces (terraces) and bike parking facilities.
  • Dining: Our chef provides a healthy meal service at the headquarters, and breakfast is available across all our sites year-round. Scalers working from regional sites enjoy a Swile card for lunches.
  • Well-being commitments: Whether it’s access to a gym, daycare places, or discounted services for caring services, Scaleway is committed to supporting Scalers in maintaining a balanced life.
  • International environment: With dozens of nationalities, Scaleway offers a stimulating environment where English is as widely spoken as French.
  • Career & Mobility: Our managers value internal mobility, and opportunities to transition to other entities within the Iliad Group are accessible to all Scalers.

 

🚀 Why join the Scaleway adventure?

✔ A rich and diverse product offering: Scaleway offers over 100 public cloud products in IaaS, PaaS, and AI.

✔ A cutting-edge technical environment: Scaleway provides modern infrastructures, including high-performance bare metal servers, to tackle exciting technical challenges.

✔ Commitment to responsible cloud: Scaleway is dedicated to a more responsible cloud, with data centers powered solely by renewable energy since 2017, minimizing our ecological footprint and holding top-level certification.

 

🔜 THE NEXT STEPS …

  • HR Screening Call (30 min)

  • Interview with Engineering Manager to understand your technical skills and approach to the role (45 min)

  • Technical & System Design interview to validate your expertise (1h)

  • Team Fit interview to deepen discussions and assess your fit with the team (45 min)

  • Final management meeting

Skills

PythonDockerCI/CDMachine LearningData ScienceGitLab

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AI Engineer at Scaleway | Hiring.Camp