Senior Applied AI Scientist
Skills
About the role
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.
Key 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
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
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.
Why Join Kai
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.
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