kadence ยท 3 days ago
Senior Applied Scientist
United States
Full-time
Remote
Mid, Senior Level
3+ years expKadence is focused on securing the AI revolution by developing products that integrate with existing AI systems to detect threats. As a Senior Applied Scientist, you will design, build, and deploy AI solutions, collaborating with cross-functional teams to enhance the company's core platform with advanced AI/ML methods.
Staffing & Recruiting
Hiring Manager
Morgan Cioeta
Responsibilities
Design and implement agentic AI systems and APIs that integrate with customer AI infrastructure and detect security threats
Build agent architectures including tool use, planning, memory, and multi-agent coordination to analyze complex AI/ML environments
Develop robust pipelines for prompt engineering, RAG, and agent orchestration
Work with software engineers and product managers to integrate AI capabilities into customer-facing products
Stay current with the latest advances in agentic AI, LLM applications, and prompt engineering techniques
Experiment with novel agent architectures, reasoning strategies, and tool integration approaches to improve threat detection
Evaluate and integrate new language models and AI capabilities as they become available
Optimize AI services for performance, latency, and cost while maintaining quality and reliability
Monitor and maintain AI services in production, ensuring reliability and performance
Implement best practices for ML operations, including versioning, testing, and monitoring
Qualification
Required
Bachelor's degree in Computer Science, Machine Learning, Statistics, or related field
3+ years of experience building and deploying AI systems in production environments
Proven experience building agentic AI solutions using large language models
Strong expertise in prompt engineering, chain-of-thought reasoning, and tool-use patterns
Strong programming skills in Python and familiarity with LLM frameworks
Experience with cloud platforms (Azure, AWS, or GCP) and containerization technologies
Deep understanding of language model capabilities, limitations, and best practices for building reliable agent systems
Preferred
PhD or Master's degree in Computer Science, Machine Learning, Statistics, or related field
Experience building multi-agent systems or complex agent orchestration workflows
Familiarity with retrieval-augmented generation architectures and vector databases
Experience with function calling, tool integration, and external API orchestration
Knowledge of evaluation frameworks for agentic systems and LLM applications
Understanding of fine-tuning techniques (LoRA, RLHF) and when to apply them
Experience with A/B testing and experimentation frameworks for AI products
Contributions to open-source LLM or agent frameworks
Experience in cybersecurity, threat detection, or AI security domains
Strong analytical and decision-making skills
Good interpersonal skills, communication skills, and understanding of how to tie technical problems to business impact
Familiarity with Agile or other project management methodologies
Benefits
Market-leading health, dental, and vision insurance for employees and dependents
Flexible Time Off Policy and Paid Parental/Family Leave
Education reimbursement program for Individual Learning
401(k) Retirement plan or RRSP Matching program
Company
kadence
Kadence - We place elite AI talent at the intersection of science & engineering, from PHD to Executive.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase