AI Language Model Developer

San Jose (Hybrid 3 days a week in office)

We are partnered with a company that provides consulting services specializing in statistical analysis and risk management who are looking for an AI Language Developer to join their growing team.  

As an AI Language Model Developer, you will play a crucial role in developing and enhancing our AI language models. Your responsibilities will span prompt developing, stakeholder management, quality assurance, model development, architectural design, research, and machine learning. You’ll collaborate with cross-functional teams to ensure prompt quality, performance, and alignment with company goals.

Responsibilities:

Prompt Developing:

• Develop, test, and refine text prompts for AI language models.
• Continuously improve prompt quality and performance.
• Collaborate with content product teams to align prompts with user needs and company objectives.

Stakeholder Management:

• Present results to stakeholders.
• Maintain relationships with stakeholders and keep them informed about project progress.
• Create an engagement plan detailing communication expectations, timelines, and feedback methods.
• Regularly communicate via email.

QA Model Output:

• Monitor and analyze model performance to identify areas for improvement.
• Manually review each output before presenting it to stakeholders.
• Draft and distribute reports on prompt performance and development progress.

Model Development:

• Communicate with the IT team to set up the necessary environment.
• Download and configure language models.
• Install required libraries and frameworks.

Architectural Design:

• Oversee projects from inception to completion, ensuring high-quality, innovative, and functional designs.
• Adhere to specific standards, building codes, guidelines, and regulations.
• Use project briefs to identify client needs and create feasibility reports and design proposals.
• Stay informed about architectural trends and advancements.

Research:

• Stay up-to-date on AI, natural language processing, and machine learning advancements.
• Collaborate with different teams during project initiation to define precise requirements.

Machine Learning/LLM:

• Focus on new coding rather than modifying existing code.
• Train and adapt systems, classifiers, and networks to meet business requirements.
• Document and summarize findings for peer and stakeholder review.
• Collaborate with teams to make critical decisions related to infrastructure, architecture, and scalability.
• Maintain and scale existing technologies.

This is a fantastic opportunity to join a growing team. The company offers life & health insurance coverage, additional annual time off, and training sponsorship program.

If this sounds like the ideal position for you apply today with an English version of your CV!