Applied AI Engineer, Mistral AI

DevOps

Salary not provided

+ Equity

AWS
Docker
Kubernetes
GCP
Python
Tensorflow
Terraform
Ansible
Azure
PyTorch
Junior and Mid level
London
Paris

Visa sponsorship

Mistral AI

Generative AI model developers

Open for applications

Mistral AI

Generative AI model developers

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Open for applications

Salary not provided

+ Equity

AWS
Docker
Kubernetes
GCP
Python
Tensorflow
Terraform
Ansible
Azure
PyTorch
Junior and Mid level
London
Paris

Visa sponsorship

101-200 employees

B2BArtificial IntelligenceDeep TechSaaS

Company mission

To make frontier AI ubiquitous, and to provide tailor-made AI to all the builders.

Role

Who you are

  • You are fluent in English
  • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • You have 2+ years of experience in a DevOps or Site Reliability Engineering role
  • You're experienced with deploying and managing AI-based products in production environments
  • You are fluent in Python
  • You have experience with containerization technologies such as Docker and Kubernetes
  • You have experience with CI/CD pipelines and automated deployment tools
  • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
  • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
  • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences

Desirable

  • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager
  • Familiarity with AI frameworks such as PyTorch or TensorFlow
  • Contributions to open-source projects, particularly in the space of DevOps or AI

What the job involves

  • Mistral AI is seeking an Applied AI Engineer focused on Deployment to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges
  • This role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world
  • You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!
  • Deployment Engineers responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects
  • A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team
  • You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces
  • You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation
  • You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning
  • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders

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Company

Company benefits

  • Competitive bonus structure
  • Equity
  • Opportunities for professional growth and development

Funding (last 2 of 4 rounds)

Jun 2024

$515.3m

SERIES B

Feb 2024

$16.6m

SERIES A

Total funding: $1.1bn

Our take

Founded by Facebook AI researchers, Mistral AI focuses on developing open-source generative AI models to "make AI useful." It emerged in early 2023, quickly achieving a $260 million valuation.

With the upcoming release of Mixtral in 2024, featuring up to 176 billion parameters, Mistral is under pressure to deliver. Mixtral's open-source nature has sparked concerns about potential misuse, yet Mistral remains a formidable competitor in the AI landscape, challenging models from Google and Meta.

Recently, Mistral secured a massive $640 million funding round, raising its valuation to $6 billion. This Series A funding, led by General Catalyst and including investors like Lightspeed Venture Partners and Andreessen Horowitz, underscores significant interest in alternatives to ChatGPT.

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Freddie

Company Specialist at Welcome to the Jungle