AI Engineer
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Key skills for this role
About the Role
spiderSilk is seeking an AI Engineer to design, develop, and deploy AI/ML models for their cybersecurity platform. The role focuses on building intelligent systems for threat detection using LLMs, agents, and RAG solutions.
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
- Experimentation spirit to build AI prototypes to validate solutions
- Deep, hands on experience building real products with Autonomous Agents and LLMs
- Strong knowledge of using LLMs across the engineering lifecycle (e.g., coding, code reviews, tooling)
- A startup mindset fast moving, product focused, and ready to lead by doing
- Good in Python, Node JS
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.
Requirements
- Experimentation spirit to build AI prototypes to validate solution
- Deep, hands on experience building real products with Autonomous Agents and LLMs not just theoretical knowledge or experimentation, but actual delivery of working systems
- Strong knowledge of using LLMs across the engineering lifecycle (e.g., coding, code reviews, tooling)
- A startup mindset fast moving, product focused, and ready to lead by doing
- Good in Python, Node JS
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