AI Engineer
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Key skills for this role
About the Role
Design and implement artificial intelligence solutions for cybersecurity, focusing on autonomous agents and large language models, requiring strong programming skills.
Key Skills for This Role
Responsibilities
- Research, design, and implement AI (LLM, Agents, RAG solutions) to support cybersecurity use cases.
- Building AI Agents autonomous solutions to augment existing features or build completely new use cases.
- Evaluate existing solutions to maximize their efficiency and accuracy.
- Optimize models for performance, scalability, and real time or near real time inference.
- Stay current with the latest AI advancements, applying cutting edge research to real world cybersecurity problems.
Requirements
- Research, design, and implement AI (LLM, Agents, RAG solutions) to support cybersecurity use cases
- Building AI Agents autonomous solutions to augment existing features or build completely new use cases
- Evaluate existing solutions to maximize their efficiency and accuracy
- Optimize models for performance, scalability, and real time or near real time inference
- Stay current with the latest AI advancements, applying cutting edge research to real world cybersecurity problems
Full Job Posting
About the Role
- As an AI Engineer at spiderSilk, you will design, develop, and deploy artificial intelligence and machine learning models that enhance our cybersecurity platform.
- Your work will focus on building intelligent systems that detect, analyze, and predict cyber threats at scale from dark web activity to attack surface exposures.
- You will collaborate with engineers, data scientists, and security researchers to deliver solutions that are both technically robust and impactful in defending against evolving cyber risks.
Responsibilities
- Research, design, and implement AI (LLM, Agents, RAG solutions) to support cybersecurity use cases.
- Building AI Agents autonomous solutions to augment existing features or build completely new use cases.
- Evaluate existing solutions to maximize their efficiency and accuracy.
- Optimize models for performance, scalability, and real time or near real time inference.
- Stay current with the latest AI advancements, applying cutting edge research to real world cybersecurity problems.
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