Reap is at the forefront of innovation in generative analytics and predictive AI solutions, and we're on the lookout for a dynamic AI Engineer to join our remote team. In this role, you will play a crucial part in our mission to transform the analytics and data science landscape. We are building a 'Chat With Data' product that leverages cutting-edge Language Models (LLMs) such as GPT and Mistraal, and we need a talented individual to lead the integration, fine-tuning, and optimization of these models.

About Reap:

At Reap, we are revolutionizing how businesses interact with data by developing tools that enable live conversations with data, automatic generation of charts and dashboards, and precise forecasting of key business outcomes. Our focus is on creating a user-friendly platform powered by generative AI, making the benefits of advanced analytics accessible to everyone.

What We Are Looking For:

We are seeking an AI Engineer with the following qualifications:

• Proven experience working with Language Models, particularly integrating and fine-tuning models like GPT and Mistraal.
• Expertise in Natural Language Processing (NLP) and a strong understanding of the latest advancements in AI and machine learning.
• Solid programming skills in languages like Python, with experience in deploying and optimizing AI models in production environments.

Role Requirements:

As an AI Engineer at Reap, you will:

• Lead the integration of state-of-the-art Language Models (LLMs) like GPT and Mistraal into our 'Chat With Data' product.
• Fine-tune and optimize LLMs to meet specific business requirements and enhance performance.
• Collaborate with cross-functional teams, including product and engineering, to design and implement innovative features.
• Stay abreast of advancements in the AI field, advocating for the adoption of new techniques and technologies to improve our product.
• Play a key role in shaping the architecture of AI components within the product.

Desired Attributes:

We believe the right candidate will possess the following attributes:

• Innovation: Embrace new ideas and technologies to enhance our AI capabilities.
• Collaboration: Work seamlessly with cross-functional teams to deliver high-quality AI-powered features.
• Problem-Solving: Enjoy solving complex challenges in AI integration and optimization.