Description

With $36M seed funding, led by Team8 and IntelVC, customers from Fortune 500 companies, including Costco and Repsol, Orchid Security is already on an exciting journey to deliver the next infrastructure layer in the security space. Behind our platform stands advanced technologies such as Large Language Models (LLMs) allowing Orchid to deliver unprecedented insight and action for enterprise's identity security. 

This is a rare opportunity to join Orchid at an early stage and make a significant impact on our success. We are looking for brilliant, curious, creative, and fun-loving individuals to join our dynamic team and help us shape the future of security technology.

This is a unique opportunity to be part of our R&D team, utilizing and enhancing our cutting-edge LLM-based component.

Job Responsibilities

• Utilize the LLM-based core component of our product.
• Define and implement machine learning algorithms and methods for data retrieval from other components to the core.
• Continuously enhance our product’s core analysis capabilities by advancing LLM prompt techniques.
• Build and utilize an evaluation infrastructure for the LLM components in the product.
• Collaborate with cross-functional teams to integrate LLM solutions seamlessly into the product.

Requirements

• 2+ years of experience deploying LLM models
• Experience with LLM, NLP, and data science Python libraries
• Deep understanding of LLM architecture, optimization, and prompting techniques
• Experience with building RAG-based applications.
• Experience in scalable and performant serving of LLM-based systems
• Experience with Python and high-scale production projects
• 5+ years of development experience
• All-around team player, fast, self-learning individual

Advantage

• Experience with LLMOps, embedding models, data pipelines, and vector databases
• Experience with Code GenAI and RAG in code generation, code analysis
• Experience with encoder-only models for code retrievals