Senior AI/LLM Engineer (Cybersecurity)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior AI/LLM Engineer (Python/RAG): Developing AI-powered intelligence workflows and RAG pipelines to analyze internet-scale data for threat hunting and security operations with an accent on LLM fine-tuning and automated evaluation. Focus on building scalable AI-driven analytics and ensuring secure, low-latency AI interactions within the platform.
Location: Remote within the United States or Canada
Salary: $148,000 – $201,000 USD (depending on location)
Company
provides real-time internet intelligence and actionable threat insights to global governments and Fortune 500 companies to help secure the internet.
What you will do
- Rapidly prototype and deploy AI-powered features to enhance search, recommendations, and automated workflows.
- Develop and fine-tune LLMs and RAG pipelines to reason over internet-scale data and deliver context-aware insights.
- Build, scale, and maintain AI-driven analytics and automation systems to facilitate data-backed decisions.
- Collaborate with frontend, product, and data engineering teams to integrate seamless AI-native experiences.
- Evaluate and improve model performance using RAGAS, LangSmith, and automated regression testing frameworks.
Requirements
- 5+ years of software engineering experience, including 2+ years building AI-powered user-facing features.
- Strong proficiency in Python for backend and API services development.
- Experience with RAG evaluation frameworks (e.g., RAGAS, LangSmith) and LLM pipeline regression testing.
- Knowledge of prompt engineering to improve LLM accuracy, reasoning, and consistency.
- Understanding of secure and responsible AI practices, including guardrails and safety checks.
- Must be based in the continental US or Canada.
Nice to have
- Advanced knowledge of AI/ML architectures and applied deep learning.
- Experience with vector search and LLM fine-tuning.
- Ability to optimize AI models for low-latency, real-time frontend interactions.
- Experience deploying secure AI systems within cybersecurity or sensitive data domains.
Culture & Benefits
- Comprehensive benefits package effective on day one.
- 401k match, health, vision, and dental insurance.
- Remote-first work environment for employees across the US and Canada.
- Culture of learning and cross-team collaboration.
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