Senior AI Engineer - LLM Applications

March 15

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🌾 Nebraska – Remote

Although this job is listed in Nebraska, this company may be open to hiring remote in other states.

+1 more states

🏄 California – Remote 🌾 Nebraska – Remote 🗽 New York – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

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Cowbell

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Cowbell is the leading provider of cyber insurance for small and medium-sized enterprises (SMEs) and the pioneer of Adaptive Cyber Insurance. Cowbell delivers standalone cyber coverage tailored to the unique needs of each business. Our innovative approach relies on AI for continuous risk assessment and continuous underwriting while delivering policyholders a closed-loop approach to risk management with risk prevention, risk mitigation, incident preparedness and response services.

Cyber Insurance • Cyber Risk Assessment • Cyber risk monitoring • Continuous underwriting • Adaptive Insurance

201 - 500 employees

📋 Description

• Cowbell is signaling a new era in cyber insurance by harnessing technology and data to provide small and medium-sized enterprises (SMEs) with advanced warning of cyber risk exposures bundled with cyber insurance coverage adaptable to the threats of today and tomorrow • Championing adaptive insurance, Cowbell follows policyholders’ cyber risk exposures as they evolve through continuous risk assessment and continuous underwriting • This investment not only underscores the confidence in Cowbell’s mission but also accelerates our capacity to revolutionize cyber insurance on a global scale.

🎯 Requirements

• Master's in Computer Science, Data Science, AI, Machine Learning, or a related field (or a Bachelor's degree with substantial experience) • 5+ years of experience in machine learning, deep learning, and NLP for real-world applications • 1+ years of hands-on experience with LLMs and generative AI • Expertise in RAG architectures, vector search, and retrieval methods • Proficiency in Python and experience with LLM APIs (OpenAI, Hugging Face, Anthropic, etc.) • Experience integrating LLMs into real-world applications (e.g., chatbots, automation, intelligent decision-making agents) • Solid foundation in machine learning, statistical modeling, and AI-driven software development • Knowledge of prompt engineering, few-shot learning, and prompt chaining techniques • Strong software engineering skills, including experience with cloud platforms (AWS) and ML model deployment • Excellent problem-solving skills, communication abilities, and ability to work independently

🏖️ Benefits

• Employee equity plan for all and wealth enablement plan for select customer facing roles • Comprehensive wellness program, meditation app subscriptions, lunch and learn, book club, happy hours and much more • Professional development and the opportunity to learn the ins and outs of cyber insurance, cyber security as well as continuing to build your professional skills in a team environment