Lead AI Engineer [Equity only]

As the Lead AI Engineer, you will be responsible for leading the development and deployment of advanced AI models, with a focus on LLMs (Large Language Models), including text, vision, and voice (TTS, STT) applications. Your role will involve fine-tuning, pre-training, RAG (Retrieval-Augmented Generation), and embedding models, as well as prompt engineering to optimize model performance. This is a full-time position with significant responsibility in shaping our AI capabilities.

Why ZautoAI?
1. We’ve acquired several large-scale customers for our platforms, validating our approach and opening doors to new industries.
2. We’ve partnered with 5+ companies in sectors like Healthcare, Blockchain, and Aerospace, showcasing the versatility and scalability of our solutions.
3. We are working closely with top institutions to set up our future AI Research Labs, ensuring that ZautoAI remains at the forefront of AI technology.
4. 13 full-time team members and a few talented interns driving innovation and growth.
5. We’ve engaged 500+ potential customers and identified a significant opportunity in Unified Data Processing (multi-modal data processing).

This position is equity-only until we secure additional funding, but it offers substantial potential for financial growth and ownership as the company expands. We're looking for a positive, impact-driven individual who believes AI will transform every industry and is eager to help make that happen on a global scale.

Key Responsibilities: **
***Model Development: Lead the development and fine-tuning of LLMs for various applications, including text, vision, and voice (TTS, STT).
*Pre-Training and Fine-Tuning: Design and implement pre-training and fine-tuning strategies to optimize model performance for specific tasks.
***RAG Implementation: Develop and deploy Retrieval-Augmented Generation (RAG) systems to enhance AI applications.
*Embedding Models:** Work on embedding techniques to improve the accuracy and efficiency of AI models.
Prompt Engineering: Optimize and refine prompts for AI models to ensure high-quality outputs. Collaboration: Work closely with cross-functional teams, including product, engineering, and data science, to integrate AI models into our platform. Innovation: Stay updated with the latest advancements in AI and machine learning, continuously innovating and improving our AI capabilities.

Qualifications:

1. Strong experience in AI, machine learning, and deep learning, with a focus on LLMs.
2. Proven expertise in fine-tuning, pre-training, and deploying LLMs for text, vision, and voice applications.
3. Experience with RAG systems, embedding models, and prompt engineering.
4. Excellent problem-solving skills and the ability to work collaboratively in a team environment. Advanced degree in Computer Science, AI, Machine Learning, or a related field.

Compensation:
Equity: Equity in the company as part of the founding or core engineering team.
Salary: Salary to be paid after generating revenue from onboarded customers or upon securing an initial investment round.

What We Offer:

1. A significant equity stake in a high-growth AI company.
2. The opportunity to lead the development of cutting-edge AI solutions and shape the future of our products.