About Mistral AI
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.
We are a dynamic team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation.
About The Job
Mistral AI is seeking a 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 will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products.
Responsibilities
- Onboard customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces.
- Work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- Individually help deploy into production use cases with a considerable business impact across various industries.
- Collaborate with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open source codebases for tasks such as inference and fine-tuning.
- Involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. Provide technical guidance on our products and explain Mistral technologies to various stakeholders.
About you
- You are fluent in English.
- You hold a PhD / master in AI / data science.
- You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products.
- You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases.
- You have deep understanding of concepts and algorithms underlying machine learning and LLMs.
- You're experienced with building and deploying LLMs or NLP applications.
- You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.
- You have strong technical coding skills in Python.
- You have experience with deep learning with Pytorch.
- You have experience with agents framework such as Langchain, vector DBs.
Ideally you have:
- Contributed to open-source projects in particular in the space of LLMs.
- Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager.
XML job scraping automation by YubHub
