About this role
Mistral is hiring a Full Stack Research Engineer in Palo Alto to help internal stakeholders adopt cutting-edge artificial intelligence products. This full-time position is ideal for software professionals with at least two years of experience who want to integrate advanced AI models into robust software systems.
Role Overview
The Research Engineer, Full Stack position involves bridging the gap between frontier AI models and real-world software applications. Working onsite in Palo Alto, the chosen candidate will partner directly with researchers, product creators, and artificial intelligence engineers to tackle demanding technical problems. The role requires building scalable solutions, shaping complex use cases, and helping clients integrate advanced technology securely on their own terms across high-stakes sectors like finance, healthcare, and defense.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Mistral delivers comprehensive, full-stack artificial intelligence solutions ranging from developer tools and applications to compute resources and frontier models. The organization collaborates closely with enterprises operating within critical industries such as the public sector, manufacturing, finance, healthcare, and defense. Guided by a collaborative, creative, and low-ego culture, Mistral features a globally distributed workforce spanning North America, Europe, Asia, and the Middle East.
How to Apply
Interested candidates should visit the official Mistral careers page to submit their application for this Palo Alto based opportunity.
Skills and tech stack
Questions candidates ask
What is the location of this job?
This position is located in Palo Alto, United States.
What programming languages are required?
Candidates must have strong technical coding skills in Python and TypeScript.
How much experience is needed for this role?
Applicants need 2+ years of experience as a technical individual contributor working on cutting-edge technologies.
What degree is required?
Applicants must hold a degree in Computer Science, Software Engineering, or a related field.
Are there any preferred qualifications?
Preferred qualifications include experience with LLM/GenAI models, open-source contributions, and experience as a Solutions Architect, Customer Engineer, Forward Deployed Engineer, Sales Engineer, or Technical Product Manager.