Lead Applied AI Engineer, Korea

Mistral
Seoul
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 7-10 yearsEducation: mastersSkills: ["Communication","Collaboration","Customer focus","Technical explanation","Continuous improvement"]

Deploy and productionize GenAI applications with significant business impact across industries, working directly with customers from pre-sales through post-implementation. Collaborate with researchers, AI and product engineers on complex projects involving fine-tuning, advanced RAG, and agentic LLM use cases. Provide technical guidance during customer calls and help translate feedback into continuous improvements to product and model capabilities, including contributions to open-source codebases.

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FursaFursa
Mistral
Mistral
1 month ago

Lead Applied AI Engineer, Korea

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Deploy and productionize GenAI applications with significant business impact across industries, working directly with customers from pre-sales through post-implementation. Collaborate with researchers, AI and product engineers on complex projects involving fine-tuning, advanced RAG, and agentic LLM use cases. Provide technical guidance during customer calls and help translate feedback into continuous improvements to product and model capabilities, including contributions to open-source codebases.
Location: Seoul
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Individually deploy AI use cases into production with considerable business impact across industries.
  • •Build and support state-of-the-art GenAI applications, working with customers from consumer to industrial use cases.
  • •Collaborate with researchers and engineers on complex customer projects involving fine-tuning and advanced LLM applications.
  • •Contribute to open-source codebases for inference and fine-tuning tasks.
  • •Participate in pre-sales calls to understand customer needs and provide technical guidance, then improve product and model capabilities based on feedback.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •7-10+ years as a technical individual contributor on AI-based products (data scientist or software engineer).
  • •Experience fine-tuning LLMs and delivering advanced RAG or agentic use cases.
  • •Deep understanding of machine learning and LLM concepts and underlying algorithms.
  • •Deep understanding of cloud infrastructure and deploying AI-based products.
  • •Strong communication skills to explain complex technical concepts to technical and non-technical audiences.
Experience:7-10 yearsAI-based productsGenAILLMRAGOpen-source
Education:Master's in AI / data science
Skills:CommunicationCollaborationCustomer focusTechnical explanationContinuous improvement
Languages:EnglishKorean
Tech Stack:GenAILLMsFine-tuningRAGAgentic use casesOpen-sourceCloud infrastructure

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
WebsiteLinkedIn