✨ About Mistral ✨
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 democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.
We are a dynamic, collaborative team passionate about AI and its potential to transform society.
Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.
Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.
✨ 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. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.
In this role, you’ll manage daily customer relations involving multiple stakeholders (CEO/CTO, data scientists, and software engineers) and function as a key resource in externalising our research in production settings.
✨ What you will do ✨
- 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.
- Be 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.
- Collaborate with our product and science team to continuously improve our product and model capabilities based on customers’ feedback.
✨ About you ✨
- Fluent in English
- PhD / Master in AI / Data Science
- 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products
- Experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases
- Deep understanding of concepts and algorithms underlying machine learning and LLMs
- Experienced with building and deploying LLMs or NLP applications
- Proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces
- Strong technical coding skills in Python
- Experience with deep learning with PyTorch
- Experience with agents framework such as Langchain, vector DBs
- Strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences
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
✨ Benefits ✨
💰 Competitive cash salary and equity
🚑 Health Insurance
🥎 Sport: 90forgymmembershipallowance🥕Food:200 monthly allowance for meals (solution might evolve as we grow bigger)
🚴 Transportation: $120/month for public transport or Parking charges reimbursed
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