LLM Engineer

Description About us The industry’s only Agentic Security Automation Platform - Blink enables you to automate all aspects of your security operations by combining AI security agents with deterministic workflows. Retain full control as you deploy your own custom army of virtual security employees - each tasked and responsible for managing specific jobs and capable of taking autonomous decisions. These AI agents leverage the deterministic security workflows assigned to them or by calling upon peer agents as required. Blink empowers security teams to rapidly operationalize response to zero-day and emerging threats by automating detection ingestion, cross-environment hunting, containment, and coordination with human stakeholders. Join our fast growing team, and help put the power of automation in the hands of every security professional. About the Role We are seeking an LLM Engineer to join our innovative team and contribute to the advancement of our security copilot. As an integral member of our growing team, you will play a key role in enhancing our security automation capabilities. Your responsibilities What you’ll do Architect and engineer prompts for various AI models, including LLMs, to generate accurate and actionable outputs for security automation tasks. Design and develop robust REST APIs that seamlessly integrate AI model functionalities within our core product offerings. Collaborate with R&D and product teams to optimize AI model performance and integration within our workflow automation platform. Explore and implement novel applications of AI to enhance Blink's automation capabilities and user experience. Requirements 2 years of experience in developing LLM-based applications 4+ years of experience in backend development. Expertise in developing cloud based applications and distributed systems. Strong analytical and problem-solving skills to navigate the complexities of AI and LLM integration. Familiarity with a variety of AI models, including but not limited to large language models, and an understanding of their capabilities in tasks such as text generation, code completion, and more - An advantage. Experience with prompt engineering techniques to achieve desired outputs from LLMs - An advantage Excellent communication and collaboration skills to work effectively across diverse teams - A must.