AI Engineer Intern (2027)

Qantev; Paris; Sur place; Confidentiel; Temps partiel

Avantages offerts par ce poste

Competitive compensation

Best-in-class laptop and equipment

Annual company off-site

Alan Blue health insurance

Swile lunch vouchers

Navigo reimbursement

Résumé du poste

Qantev is seeking an AI Engineer Intern in Paris to design and deploy high-performance, enterprise AI pipelines and RAG applications. You will bridge research and production for core platform features, APIs, and data processing while writing clean, scalable code in Python and TypeScript.

You’ll join a fast-growing health-tech startup that values autonomy, product impact, and hands-on contributions. 4–6 month internship with competitive compensation and benefits is offered.

Qualifications

• Pursuing a Master’s or Engineering degree from a Tier-1 institution.
• Fluent in English.
• 4–6 month internship.
• Strong fundamentals in CS including data structures, algorithms, and OO design.
• Experience with Python/TypeScript is preferred.

Responsabilités

• Design and deploy production-grade, multi-step Agentic AI pipelines.
• Contribute to APIs, data processing pipelines, and user-facing applications.
• Build and scale robust systems using Python and TypeScript.
• Navigate a large codebase independently with minimal hand-holding.
• Translate complex requirements into technical specs and live features.
• Learn a cloud-agnostic architecture for flexibility and scale.
• Identify bottlenecks and improve system performance.

Connaissances

Python

TypeScript

Go

Java

C++

AI systems

RAG

Agentic frameworks

English

Formation

Master's or Engineering degree

Outils

Docker

Kubernetes

React

FastAPI

Django

PostgreSQL

Description du poste

At Qantev, we are reshaping health insurance with autonomous, multi-step Agentic AI pipelines. As an AI Engineer Intern, you will design and deploy high-performance, enterprise systems for our most innovative products. Bridge the gap between advanced research and production-scale software with real impact here.

Tasks

What you will build and own:

• Design and deploy production-grade, complex, multi-step reasoning Agentic AI pipelines and RAG applications.
• Contribute to the design and implementation of new features and enhancements for our core platform, including APIs, data processing pipelines, and user-facing applications.
• Build and scale robust systems using Python and TypeScript, maintaining a high bar for code quality, performance, and reliability.
• Dive into a sophisticated codebase and operate independently. We value engineers who can find their way to a solution and build it with minimal hand-holding.
• Work at the intersection of Data Science and Engineering to translate complex requirements into elegant, technical specifications and live features.
• Gain deep expertise in our cloud-agnostic environment and software architecture, learning how to build for flexibility and scale.
• Proactively identify and resolve bottlenecks, continually pushing the boundaries of our system's performance and development velocity.

Requirements

Your Profile

We are looking for a highly motivated individual who meets the following criteria:

• The Builder Mindset: You are the type of person who sees a bottleneck and builds a tool to fix it.
• Academic background : You are currently pursuing a Master's or Engineering degree from a Tier-1 institution
• Deep Autonomy: You are comfortable diving into a massive, sophisticated codebase and finding your way to a solution without a hand-holding manual.
• Strong foundation in AI-intensive systems (RAG & Agentic Frameworks), Computer Science fundamentals, including data structures, algorithms, object-oriented design, and software engineering principles.
• The "Product" Lens: You don't just write code that works; you write code that matters to the user.
• Demonstrated ability to write clear, maintainable, and efficient production-quality code.
• Familiarity with at least one programming language (e.g., Python, Go, Java, TypeScript, C++).
• Excellent analytical and problem-solving skills, with the ability to break down complex problems and design elegant solutions.
• Fluent in English
• Seeking a 4-6 month internship

Bonus Points:

• Hands-on experience with AWS, GCP, or Azure, particularly in deploying and scaling containerized applications (Docker, Kubernetes).
• Experience building with React on the frontend and high-performance backends like FastAPI or Django.
• A solid grasp of relational databases (PostgreSQL/SQL) and the ability to optimize complex queries.
• A strong understanding of CI/CD pipelines and the "shift-left" approach to testing and deployment.
• Previous experience in a high-growth, product-led startup or a history of shipping fast in an agile environment.
• Contributions to open-source projects, a personal portfolio of deployed apps, or experience with Vector databases (Chroma, Pinecone, Weaviate).

Benefits

Benefits of Working at Qantev

Professional Growth & Impact:

• Opportunity to join a challenging environment among top-notch engineers and experienced entrepreneurs.
• Develop a deep understanding of the health insurance industry.
• Take part in scaling a global tech start-up.

Compensation & Perks:

• Competitive compensation.
• Best-in-class laptop and equipment.
• Annual company off-site.
• Access to the vibrant start-up ecosystem benefits.
• Alan Blue health insurance.
• Swile (daily lunch vouchers).
• Navigo reimbursement.