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 integrate AI model functionalities within the core product.
Collaborate with R&D and product teams to optimize AI model performance and integration within the workflow automation platform.
Explore and implement novel applications of AI to enhance Blink's automation capabilities and user experience.
Contribute to advancing the company's security copilot and security automation features.
Requirements
4+ years of experience in software development, with strong proficiency in developing LLM-based applications.
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 large language models) and their capabilities such as text generation and code completion (advantage).
Experience with prompt engineering techniques to achieve desired outputs from LLMs (advantage).
Excellent communication and collaboration skills to work effectively across diverse teams.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.