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Description:
We are a stealth-mode cybersecurity company founded by ex-Amazon, Elastic, and Tessian leaders.
Our mission is to harness the power of Generative AI, including LLMs and agents, to address critical cybersecurity challenges.
As a Lead AI Engineer, you will innovate and lead the design and development of advanced AI model architectures and capabilities.
You will implement state-of-the-art machine learning algorithms to revolutionize our products.
Your role includes designing and implementing agentic workflows using advanced libraries like LangGraph, integrating proprietary and open-source models.
You will contribute to the development of products powered by LLMs and deep learning techniques, applying ML- and LLM-Ops best practices.
Collaboration with team members is essential to seamlessly integrate AI solutions into our products.
You will partner with data ingestion specialists to optimize data pipelines for efficient model training and deployment.
Your responsibilities also include designing and conducting experiments to rigorously test and enhance model performance and robustness.
Requirements:
A profound understanding of the theoretical foundations of machine learning is essential.
You must have multiple years of experience developing AI models within SaaS products.
Fluency in at least one deep learning framework, such as TensorFlow or PyTorch, is required.
Experience with LLMs, RAG, and Fine-Tuning is necessary.
Excellent problem-solving skills and the ability to thrive in a fast-paced startup environment are crucial.
Outstanding communication and relationship-building skills are needed.
You should have the ability to quickly prototype and iterate on MVPs to test and validate new ideas.
A Master's degree or PhD in related fields such as AI or LLM from a reputable academic institution is required.
Benefits:
You will face ambitious challenges by using Generative AI to solve pressing cybersecurity issues, working at the cutting edge of the field.
You will be part of an expert team with deep experience in Big Tech and Scale-ups, including members who have been involved in multiple acquisitions and an IPO.
Your work will have a significant impact, as helping companies mitigate cybersecurity risks contributes to better outcomes for everyone.