About the Company

We are working with a leading company in the AI industry, focused on innovating learning and note-taking platforms. The product combines a natural handwriting experience with powerful AI-enabled digital capabilities.

About the Role

• Expanding AI systems for a large user base.
• Developing sophisticated RAG systems for tasks like question answering, summarisation, self-learning, and AI-assisted editing of handwritten and PDF documents.
• Creating innovative solutions that blend multimodal LLMs with freeform note-taking technologies.
• Implementing LLM pipelines to enhance user experiences.

Responsibilities:

• Develop and deploy large-scale AI applications.
• Utilize expertise in LLMs, particularly in RAG or agentic workflows.
• Apply strong computer science principles.
• Code proficiently in Python and at least one other programming language (e.g., Java, Swift, C++).

Work with various technologies, including:

• Cloud platforms and serverless computing.
• Containerization and orchestration tools.
• Vector databases.
• ML experimentation and model management platforms.
• LLM providers and AI services.
• Open-source AI frameworks and community platforms.
• API development frameworks.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• Masters degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience

Preferred Skills:

• Experience with multimodal LLMs.
• Deep understanding of transformer models for information retrieval, question answering, and document summarization.