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.
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.
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).
HR Screening
Technical Test
Meet the team + CTO
Offer
Meet Oscar, Data Scientist
Meet Sylvain, Head of Engineering
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