Mistral

2 weeks ago

Lead Applied AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Reposted: first listed 1 week 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

Website LinkedIn

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Mistral

2 weeks ago

Lead Applied AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours 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

•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

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Funding: Seed

Headquarters: Paris, France

Founded: 2023

Website LinkedIn