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AVISIA

3 days ago

End of Studies Internship - AI Engineer M/F - Paris

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Company information

Company
AVISIA
Location
Paris, Île-de-France, France France
Posted
3 days ago
View all jobs at AVISIA

Job description

The mission :

Through the internship, you will have the opportunity to apply your skills, learn from experts, and contribute to concrete and impactful projects.

Being a consultant means participating in projects that address both technical challenges and business-oriented issues concerning various sectors of activity (luxury, retail, banking/insurance, industry, etc.). 

Our missions combine a technical and operational dimension allowing you to deepen your knowledge on innovative topics. You will be involved in the entire data lifecycle to develop and maintain our clients' strategic data applications.

Depending on the projects, you may notably be involved in:

  • analyzing needs and designing AI architectures;

  • developing agents, workflows, and RAG applications;

  • integrating tools, APIs, and enterprise data;

  • developing APIs, MCPs, and backend services;

  • industrializing and deploying Cloud solutions;

  • implementing tests, evaluations, observability, and security measures;

  • documenting and sharing best practices.

Below are examples of topics:

  • Design and development of autonomous agents for business process automation: Design of complex workflows (industrial or customer relations) where AI agents chain tasks, make decisions, and interact with the company's internal tools and data.

  • Design and orchestration of multi-agent platforms: Implementation of complete architectures where several specialized AI agents collaborate to solve complex problems (e.g., research agents, synthesis agents, code execution agents) to optimize operational efficiency.

  • Deployment of Cloud platforms for developing, securing, monitoring, and scaling AI solutions.

AVISIA Lab :

In addition to our client missions, we conduct various internal projects that fuel our research and development. These projects give us the opportunity to offer our clients innovative analytical approaches, tested in real-world scenarios.

To support these initiatives, we have set up our own infrastructures. Our consultants thus benefit from the latest resources and market solutions for their learning, including 'early adopter' versions to test before their general release.

Our commitments :

After implementing a strong internal CSR policy, we wanted to put our skills to the service of sustainable development-oriented projects. A dedicated initiative was born: AVISIA Impact.

This initiative is our response to make a direct contribution (through our projects) and indirect contribution (through training our teams) to the challenges of sustainable transformation. We thus want to facilitate the emergence of future transformation actors and accelerate the pace of change.

For more information on these data initiatives for sustainable transformation, do not hesitate to consult our dedicated page Data For Impact.


The Human Aspect :

We are therefore looking for talents who:

  • Have excellent interpersonal skills,

  • Are willing to commit to the success of client projects,

  • Possess good critical thinking skills,

  • Place particular importance on the quality of deliverables and their presentation,

  • Are curious and keen to stay informed about market developments,

  • Have the desire to continue learning to be agents of their own progression.

The Skills :

You are in your final year of data studies at university or in a top engineering school.

Depending on the topics, you may be required to work with:

  • Python, SQL, NodeJS,

  • FastAPI, LangChain, ADK, LlamaIndex, APIs (OpenAI, Anthropic, etc.),

  • Docker, Kubernetes, Terraform, Git

  • Google Cloud, AWS, Azure, Snowflake, Databricks, Dataiku.

You don't need to master everything: we are primarily looking for profiles with AI Engineer experience (internship, academic project, personal project), who are curious, capable of learning quickly, and eager to progress in areas of generative AI, industrialization, and Cloud.

Required skills

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