Applied AI Engineer, Use-case - Singapore

• You’ll be responsible for onboarding customers on our products and APIs, providing guidance on prompting, evaluation, and fine-tuning, and ensuring the best production integration with back-end and front-end interfaces. 

• You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. 

• You’ll individually help deploy into production use cases with a considerable business impact across various industries. 

• You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning.

• You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. 

• Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback  

• You are fluent in English

• You hold a PhD / master in AI / data science.

• You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products

• You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases

• You have deep understanding of concepts and algorithms underlying machine learning and LLMs

• You're experienced with building and deploying LLMs or NLP applications

• You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces.

• You have strong technical coding skills in Python

• You have experience with deep learning with Pytorch

• You have experience with agents framework such as Langchain, vector DBs

• You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences

Ideally you have:

• Contributed to open-source projects in particular in the space of LLMs

• Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager

💰 Competitive cash salary and equity

🚑 Health Insurance

🥎 Sport : $90 for gym membership allowance

🥕 Food : $200 monthly allowance for meals (solution might evolve as we grow bigger)

🚴 Transportation : $120/month for public transport or Parking charges reimbursed