Applied AI Engineer – Use-case
| Company | Mistral AI |
|---|---|
| Location | Palo Alto, CA, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Junior, Mid Level |
Requirements
- Fluent in English
- Hold a 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
Responsibilities
- Onboarding 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
- Working on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with customers a crucial technological transformation
- Individually helping deploy into production use cases with a considerable business impact across various industries
- Collaborating with researchers, other AI engineers, product engineers on complex customer projects involving fine-tuning, state-of-the-art LLM applications, and contributing to open-source codebases for tasks such as inference and fine-tuning
- Involved in pre-sales calls to understand potential clients’ needs, challenges, and aspirations, providing technical guidance on products and explaining Mistral technologies to various stakeholders
- Collaborating with product and science teams to continuously improve product and model capabilities based on customers’ feedback
Preferred Qualifications
- 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