Artificial Intelligence (Generative AI) Engineer

Beehive AI, Inc.; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

Beehive AI in San Francisco is seeking an Artificial Intelligence (Generative AI) Engineer to design, develop, experiment, and productionalize components of our LLM-based platform. You will work on cutting-edge generative AI solutions and collaborate with a cross-functional team to deliver robust AI capabilities.

Requirements include a PhD in a related field, extensive LLM experience, and proficiency with PyTorch, plus strong analytical and communication skills.

Qualifications

• PhD in Computer Science, AI, Linguistics, Applied Physics or related field with focus on AI/NLP.
• Experience with LLMs and PyTorch.
• Analytical and problem-solving skills for model training and optimization.
• Strong communication and collaboration skills for cross-functional teams.
• Innovation and continuous learning mindset to stay updated with AI trends.

Responsibilities

• Design, develop, experiment, and maintain components of Beehive AI algorithms and LLMs.
• Research and productionalize generative AI solutions for the platform.
• Collaborate with cross-functional teams to implement scalable AI systems.

Skills

LLM experience

Analytical thinking

Communication

Continuous learning

Education

PhD in Computer Science or related field

Tools

PyTorch

Job description

Artificial Intelligence (Generative AI) Engineer

San Francisco Bay Area (on-site) or USA (remote)

Job Type

Full Time

About the Company

Beehive AI provides a generative AI platform designed specifically for an organization’s unique qualitative data. With self-learning language models, validated by human experts, and built-in statistical analysis, research and insights leaders can quickly, accurately, and safely analyze their qualitative data, and combine it with quantitative data, to generate more robust customer insights.
Beehive AI ingests data from any insights program running in the organization, breaking down silos between data sets and creating a more consistent approach to analysis. Unlike traditional ML/NLP tools that require manual setup and maintenance or new generative AI innovation that rely on generic LLMs and can put your corporate data at risk , Beehive AI uses generative AI and LLMs that are designed specifically for your organization, so you can safely and easily analyze qualitative data at scale, combine it with your quantitative data, and generate robust insights that more accurately reflect your business and your customer at any given point in time.

About the Position

As an Artificial Intelligence (Generative AI) Engineer, you will work on designing, developing, experimenting and maintaining various components of the Beehive AI algorithms and LLMs. You will need to work, often independently, on the full cycle of development starting from researching and experimenting with generative AI solutions all the way to implementing and productionalizing it.

Requirements

Advanced Degree : PhD in Computer Science, AI, Linguistics, Applied Physics or related fields, with a focus on AI and natural language processing.

Experience with LLMs and PyTorch : Extensive experience with large language models and proficiency in PyTorch.

Analytical and Problem-Solving Skills : Ability to address complex challenges in model training and optimization.

Communication and Collaboration Skills : Effective communication skills for conveying technical concepts and collaborating with cross-functional teams.

Innovation and Continuous Learning : Passion for staying updated with the latest trends in AI and machine learning.