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Applied AI Engineer, ML Infra - Palo Alto

Democratizing AI through high-performance, optimized, open-source models and solutions, offering enterprise AI platforms and le Chat assistant.
DevOps
Mid-Level Software Engineer
In-Person
101 - 500 Employees
2+ years of experience
AI · Enterprise SaaS

Description For Applied AI Engineer, ML Infra - Palo Alto

Mistral AI, a pioneering company in AI democratization, is seeking an Applied AI Engineer focused on DevOps for their Palo Alto office. This role combines technical expertise with customer-facing responsibilities, making it ideal for engineers who want to impact AI adoption across industries. The position requires a strong background in DevOps and infrastructure, with hands-on experience in Python, containerization, and cloud platforms.

The role offers a unique opportunity to work directly with customers while maintaining deep technical involvement. You'll be responsible for helping organizations implement AI solutions, from infrastructure setup to deployment and scaling. The position involves collaboration with researchers and engineers, contributing to open-source projects, and providing technical guidance to clients.

Mistral AI offers a comprehensive benefits package including competitive compensation, full health coverage, 401K matching, and various lifestyle benefits. The company maintains a collaborative, low-ego culture across its international offices in France, USA, UK, Germany, and Singapore. This position is perfect for someone who wants to be at the forefront of AI technology while helping organizations leverage AI effectively.

The ideal candidate will have at least 2 years of DevOps experience, strong Python skills, and expertise in cloud platforms and containerization. They should be able to communicate complex technical concepts clearly and work effectively with both technical and non-technical stakeholders. Experience with AI frameworks and open-source contributions would be advantageous.

Last updated 2 months ago

Responsibilities For Applied AI Engineer, ML Infra - Palo Alto

  • Onboard customers on products, provide deployment and integration guidance
  • Deploy state-of-the-art AI applications from consumer products to industrial use cases
  • Collaborate with researchers and engineers on complex customer projects
  • Participate in pre-sales calls to understand client needs
  • Provide technical guidance on products
  • Contribute to open-source codebases for inference and fine-tuning

Requirements For Applied AI Engineer, ML Infra - Palo Alto

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 2+ years of experience in DevOps or Site Reliability Engineering
  • Experience deploying and managing AI-based products in production
  • Fluent in Python
  • Experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and automated deployment tools
  • Deep understanding of cloud platforms (AWS, Azure, GCP)
  • Experience with infrastructure as code (IaC) tools
  • Strong communication skills
  • Fluent in English

Benefits For Applied AI Engineer, ML Infra - Palo Alto

Medical Insurance
401k
Vision Insurance
Dental Insurance
Parental Leave
Visa Sponsorship
  • Competitive salary and equity
  • Full health insurance coverage (100% for employee, 75% for dependents)
  • 401K with 6% matching
  • 18 days PTO
  • Transportation reimbursement ($120/month for public transport)
  • BetterUp coaching
  • Sport reimbursement ($120/month)
  • Meal stipend ($400 monthly)
  • Visa sponsorship

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