Description

Expand AI capabilities within the existing application by integrating large language models, vector embeddings, and retrieval-augmented generation (RAG) approaches.

This role is on-site.

Responsibilities

• Develop and deploy classical machine learning models for classification and regression tasks.
• Implement and optimize RAG pipelines using LLMs and vector embeddings.
• Write and maintain Typescript code to integrate AI features into the Node and ReactJS application.
• Manage model deployment and ensure scalability within the current infrastructure.

Required Skills

• 7+ years of experience in data science or machine engineering.
• Strong proficiency in Typescript.
• Hands-on experience with Node.js and ReactJS.
• Proven track record working with LLMs, vector embeddings, and RAG architectures.
• Experience building and deploying classification and regression models.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree