Senior/Staff Applied AI Engineer, Devops/SRE
Apply at source. Mistral AI handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.
What the team is looking for.
At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity.
We are seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.
As an Applied AI Engineer, you will work directly with customers to quickly understand their greatest challenges and design and implement AI solutions.
Responsibilities:
- Onboard customers on our products, provide guidance on deployment and integration, and ensure the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces.
- Deploy state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation.
- Collaborate with researchers, other AI engineers, and product engineers on complex customer projects involving deployment, scaling, and contributing to open-source codebases for tasks such as inference and fine-tuning.
- Participate in pre-sales calls to understand potential clients' needs, challenges, and aspirations, and provide technical guidance on our products.
Requirements:
- Fluent in English and Korean
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of experience in a DevOps or Site Reliability Engineering role
- Experienced with deploying and managing AI-based products in production environments
- Fluent in Python
- Experience with containerization technologies such as Docker and Kubernetes
- Experience with CI/CD pipelines and automated deployment tools
- Deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure
- Experienced with infrastructure as code (IaC) tools such as Terraform or Ansible
- Strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences
- Python
- Docker
- Kubernetes
- CI/CD pipelines
- Cloud platforms
- Infrastructure as code
- DevOps
- Site Reliability Engineering
- AI frameworks such as PyTorch or TensorFlow
- Contributions to open-source projects
- Customer Engineer
- Forward Deployed Engineer
- Sales Engineer
- Solutions Architect
- Technical Product Manager
Other roles you might consider.
Filtered through the same AI-companies allowlist.
Member of Technical Staff (Software Engineer, Inference & Training Platform)
Perplexity
Research Scientist, Life Sciences (Computational)
Anthropic
Product Manager, Safeguards (Verticals)
Anthropic
Power Systems Engineer (Data Center Infrastructure)
SpaceXAI
Electrical Reliability Engineer (Data Center Infrastructure)
SpaceXAI
Harness Engineer
OpenAI
New to AI work? Start with these.
Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.
Claude Desktop, from zero.
The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.
What MCPs areThe best MCPs for Claude Desktop.
MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.
Code with AIClaude Code, the complete beginners' guide.
The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.
Run a local modelHow to set up LM Studio.
Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.
The hardware realityBeginner's guide to AI hardware.
What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.
Browse the stackMCP catalogue.
Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.