Senior Applied AI Scientist

Description

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human speed bottlenecks. The Kai Agentic AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.

Responsibilities

• Design and develop large-scale AI/ML and Generative AI systems
• Build and deploy LLM-powered applications, including RAG pipelines and agent-based systems
• Contribute to the architecture and implementation of scalable AI systems
• Collaborate with scientists, engineers, and product teams to deliver end-to-end AI solutions
• Develop retrieval and embedding systems for intelligent applications
• Implement agentic workflows with tool use, memory, and reasoning capabilities
• Support the full model lifecycle: data curation → training/fine-tuning → evaluation → deployment → monitoring
• Translate business requirements into practical AI solutions in collaboration with stakeholders
• Required Qualifications
• 4+ years of experience in Applied AI / Machine Learning / Generative AI
• M.S. in Computer Science, AI, Machine Learning, or a related field. PhD preferred.
• Strong experience building and deploying production-grade AI systems
• Experience working in cross-functional teams to deliver AI solutions
• Ability to communicate technical concepts effectively with product and engineering stakeholders
• Deep expertise in LLMs, RAG, and modern Generative AI systems
• Solid system design skills across data, models, and infrastructure
• Ability to move from experimentation → production deployment
• Strong ownership mindset and ability to operate in fast-paced environments
• Experience with agentic frameworks and tool-based AI systems
• Preferred Qualifications
• Experience applying AI in cybersecurity, enterprise SaaS, or data-intensive domains
• Background in search or large-scale retrieval systems
• Core Technical Expertise
• Large Language Models & GenAI
• RAG, Retrieval & Vector Systems
• Fine-Tuning & Model Adaptation
• Agentic AI Systems
• Prompt Engineering & Optimization
• Evaluation & Quality
• Inference & Serving
• Data Engineering & Synthetic Data
• Multimodal AI
• LLMOps & Observability
• Platforms & Infrastructure
• Individual pay reflects job-related skills, experience, and relevant education or training. Alongside base salary, this role includes equity, medical, dental and vision coverage, 401(k), and more.

Benefits

• Well-funded: With $125M raised, we have the capital, runway, and resolve to rebuild cybersecurity from first principles.
• Proven: We've earned the trust of Fortune 500 and Global 1000 companies, and we're just getting started. Their confidence in Kai reflects what we've built: an AI-powered cybersecurity platform that performs at the scale and speed the enterprise demands.
• Experienced founders: Our founding team consists of second-time entrepreneurs, each with over 20 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals.
• World-class leadership team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.
• Frontier AI Applied Research Team: Our researchers operate at the leading edge of agentic AI systems, translating breakthrough capabilities into real-world cybersecurity applications.
• Generous compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.
• About the Role
• We are looking for a Senior Applied AI Scientist to design and develop cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications.
• This is a senior, hands-on technical role for someone who can operate across key components of modern AI — from modeling and experimentation to production systems — while contributing to system design and collaborating across teams.
• You will work at the intersection of LLMs, agentic systems, retrieval architectures, and scalable AI platforms, building systems that move from prototypes to reliable, production-grade solutions.