Applied AI Engineer, Fullstack Software Engineer - EMEA

Mistral AI•Paris, TX

28d

About The Position

Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges. The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.

Requirements

You are fluent in English
You hold a degree in Computer Science, Software Engineering, or a related field.
You have 2+ years as a technical individual contributor on cutting-edge technologies
You have strong technical coding skills in Python and TypeScript
You have experience with front-end frameworks such as React, NextJS, or VueJS.
You have experience with back-end technologies such as NodeJS.
You have a solid understanding of software development principles, including design patterns, data structures, and algorithms.
You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Nice To Haves

Experience with LLM/GenAI models
Contributed to open-source projects or libraries
Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

Responsibilities

Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients' software products.
Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems.
Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces.
Collaborate with our product and science team to improve continuously our product and model capabilities based on customers' feedback.