Mistral

1 week ago

Senior/Staff Applied AI Engineer, Devops

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Help customers adopt AI products by onboarding them, guiding deployment and integration, and ensuring production-ready setups from GPU infrastructure to backend and frontend interfaces. Deploy and scale state-of-the-art AI applications across consumer and industrial use cases. Collaborate with researchers and engineers on complex projects, contribute to open-source codebases, and join pre-sales technical discussions while explaining Mistral technologies clearly.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Onboard customers on Mistral products, providing guidance on deployment and integration and ensuring production setup from GPU stack through infrastructure and interfaces.
•Deploy state-of-the-art AI applications across consumer and industrial use cases, supporting key technological transformations.
•Collaborate with researchers and engineers on complex projects involving deployment, scaling, and contributing to open-source codebases for inference and fine-tuning.
•Participate in pre-sales calls to understand client needs and provide technical guidance and explanations of Mistral technologies to stakeholders.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•5+ years of experience in a DevOps or Site Reliability Engineering role.
•Experience deploying and managing AI-based products in production environments.
•Fluency in Python.
•Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
•Deep understanding of cloud platforms (AWS, Azure, GCP) plus on-premises infrastructure, including IaC tools such as Terraform or Ansible.

Experience:5+ years

Education:Bachelor's in Computer Science, Engineering

Skills:CommunicationProblem-solvingCreativity

Languages:EnglishKorean

Tech Stack:PythonDockerKubernetesCI/CDAWSAzureGCPTerraformAnsiblePyTorchTensorFlowInfrastructure as code (IaC)

Company Brief

Mistral

Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn

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Mistral

1 week ago

Senior/Staff Applied AI Engineer, Devops

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Reposted: first listed 1 week ago

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•Onboard customers on Mistral products, providing guidance on deployment and integration and ensuring production setup from GPU stack through infrastructure and interfaces.
•Deploy state-of-the-art AI applications across consumer and industrial use cases, supporting key technological transformations.
•Collaborate with researchers and engineers on complex projects involving deployment, scaling, and contributing to open-source codebases for inference and fine-tuning.
•Participate in pre-sales calls to understand client needs and provide technical guidance and explanations of Mistral technologies to stakeholders.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

•5+ years of experience in a DevOps or Site Reliability Engineering role.
•Experience deploying and managing AI-based products in production environments.
•Fluency in Python.
•Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.
•Deep understanding of cloud platforms (AWS, Azure, GCP) plus on-premises infrastructure, including IaC tools such as Terraform or Ansible.

Experience:5+ years

Education:Bachelor's in Computer Science, Engineering

Skills:CommunicationProblem-solvingCreativity

Languages:EnglishKorean

Tech Stack:PythonDockerKubernetesCI/CDAWSAzureGCPTerraformAnsiblePyTorchTensorFlowInfrastructure as code (IaC)

Company Brief

Mistral

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn