Staff Software Engineer, Machine Learning
SuperDial
AWSAzureCloudDistributed SystemsDockerGoGoogle Cloud PlatformJavaKubernetesPythonTerraformTypeScript
Job Level
Mid-LevelSenior
Tech Stack
CloudDistributed Systems
About the role
- 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 Blink's core product offerings.
- 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 the advancement of Blink's security copilot and overall security automation capabilities.
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 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.
