Lead Applied AI Engineer, Korea
Mistral AI2 months ago
Seoul, Korea, SouthStaff+
Responsibilities
- Deliver critical code, conduct code reviews, and optimize complex AI projects as a hands-on individual contributor.
- Lead and mentor Applied AI Engineering teams delivering generative AI applications across industries.
- Lead technical pre-sales discussions and translate customer requirements into actionable solutions.
- Design and oversee fine-tuning, RAG, agentic workflow, and custom LLM application implementations.
- Evaluate emerging AI tools and methodologies and promote best practices for fine-tuning, inference, and deployment.
- Collaborate with product managers, researchers, and engineers to incorporate customer feedback into product development.
Requirements
- Native Korean and fluent English proficiency.
- PhD or master's degree in AI or data science, or equivalent self-directed expertise.
- 10+ years of experience as a technical individual contributor, such as a data scientist or software engineer, working on AI-based products.
- Experience fine-tuning LLMs and addressing advanced RAG or agentic use cases.
- Deep understanding of machine learning and LLM concepts and algorithms.
- Deep understanding of cloud infrastructure and deployment of AI-based products.
- Experience building or deploying products with large-scale user bases.
- Strong communication skills with the ability to explain complex technical concepts to technical and non-technical audiences.
- Preferred: contributions to open-source LLM projects.
- Preferred: experience as a Forward Deployed Engineer, Staff Engineer, Machine Learning Engineer, or Staff Data Scientist.
- Preferred: experience founding or helping found a rapidly growing startup.
Benefits
- Benefits may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal allowances, transportation allowances, and other location-specific perks; offerings vary by country.
Categories
Solutions Engineering
About Mistral AI
Mistral AI builds foundation language models and full‑stack AI solutions for enterprises, offering APIs, on‑prem deployment, developer tools, and applications. The privately held company, founded in 2023 and headquartered in Paris, partners with organizations in finance, manufacturing, defense, healthcare, and the public sector to co‑create customized systems. It releases open‑source models alongside commercial offerings and makes its models available through major cloud marketplaces.