AI Engineer Intern (2027)

Qantev; Paris; Ibrido; EUR 17.000 - 21.000; Part-time

Vantaggi offerti da questo lavoro

Best-in-class laptop and equipment

Annual company off-site

Lunch vouchers / meal benefits

Descrizione del lavoro

Qantev is seeking an AI Engineer Intern to design and deploy high-performance, enterprise systems. You will bridge research and production-scale software, building multi-step AI pipelines and RAG applications that impact real products.

You will work on APIs, data pipelines, and user-facing features, using Python and TypeScript. The role requires autonomy, strong problem-solving, and fluent English, for a 4–6 month internship based in Paris.

Competenze

• Pursuing a Master’s or Engineering degree from a Tier-1 institution.
• Demonstrated ability to write clear, maintainable production-quality code.
• Fluent in English.

Mansioni

• Design and deploy production-grade, multi-step AI pipelines and RAG applications.
• Contribute to APIs, data processing pipelines, and user-facing applications.
• Build and scale robust systems with Python and TypeScript.
• Navigate a large codebase independently with minimal hand-holding.
• Bridge Data Science and Engineering to translate complex requirements into technical specs.

Conoscenze

Builder mindset

Autonomy

AI-intensive systems

Programming

English fluency

Formazione

Master’s or Engineering degree

Strumenti

Python

TypeScript

Go

Java

C++

Descrizione del lavoro

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:

• Experience with agentic frameworks (Pydantic AI, LangChain, LlamaIndex) or vector databases (Pinecone, Chroma, Weaviate).


• Interest in prompt engineering and LLM evaluation — designing, testing, and iterating on prompts and agent behavior.


• Exposure to MLOps practices — experiment tracking, prompt/model versioning, monitoring AI pipelines in production.

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:

Best-in-class laptop and equipment.

Annual company off-site.

Access to the vibrant start-up ecosystem benefits.

Swile (daily lunch vouchers).

Navigo reimbursement.

Join us :)