Staff Applied AI Engineer

at  Zania

Join Zania, a pioneering AI Security startup based in San Francisco, on a mission to develop enterprise-grade AI agents for security. Our distinguished team hails from prestigious tech giants such as Microsoft, Airbnb, Google, Meta, AWS, and Instacart, and our clientele includes Top 10 audit firms and Fortune 500 companies. We’re seeking a highly skilled AI Engineer with a passion for advancing AI technologies to play a pivotal role in developing and optimizing our innovative solutions.

Responsibilities:

• Fine-tune large language models and implement novel retrieval, search and QA algorithms to enhance the capabilities of our AI agents.
• Develop and evaluate large systems of interconnected LLMs, addressing engineering constraints such as latency and model inference costs.
• Work directly with our founder and customers to understand requirements and deliver impactful AI solutions.
• Tackle unsolved research and engineering problems, particularly those relevant to LLMs in production environments.

Requirements:

• Professional experience building world-class, world-scale software solutions.
• 3-5+ years of experience in machine learning engineering, with a strong understanding of ML principles and techniques.
• Experience working with large language models (LLMs) and implementing AI systems at scale.
• Demonstrated ownership mindset, self-learning abilities, curiosity, and a drive to push the boundaries of technology.
• Strong problem-solving skills and a passion for tackling complex challenges in AI engineering.
• Experience with Python, Langchain, Llama Index, or other relevant AI frameworks.

What We Offer: Opportunity to work on groundbreaking AI products and contribute to solving some of the toughest challenges in the industry. Competitive salary and benefits package. Collaborative and inclusive work culture with opportunities for professional growth and development

• Fine-tune large language models and implement novel retrieval, search and QA algorithms to enhance the capabilities of our AI agents.
• Develop and evaluate large systems of interconnected LLMs, addressing engineering constraints such as latency and model inference costs.
• Work directly with our founder and customers to understand requirements and deliver impactful AI solutions.
• Tackle unsolved research and engineering problems, particularly those relevant to LLMs in production environments