Senior Applied AI Engineer, Komodo Health

• Proven track record of building end-to-end, production-grade AI systems
• Expertise with LLMs, agent orchestration, multi-agent systems, and advanced prompt engineering
• Strong fluency in Python and modern GenAI frameworks (vLLM, Crew AI, Strands, Chat Completions API)
• Full-stack depth enabling seamless integration of AI across front-end and back-end systems
• Experience designing experiments, A/B tests, evaluation metrics, and performance instrumentation
• Experience collaborating with platform/infrastructure teams on MLOps workflows
• Strong cross-functional communication and mentorship capability

Desirable

• As a Senior Applied AI Engineer, you own complex, full-stack AI solutions end-to-end—from applied research to production deployment. This role exists to set technical direction for ambiguous and high-impact use cases across Komodo, while scaling the AI systems, patterns, and infrastructure that enable reliable, repeatable delivery. You’ll mentor others, lead architectural decisions, and deepen Komodo’s AI-first culture
• Architecting, building, and deploying end-to-end AI systems that balance innovation with reliability and ethical considerations
• Leading solution design for ambiguous AI problems across Komodo’s platform and internal operations
• Collaborating with product, data, and platform teams to define requirements and shape strategic AI investments
• Designing advanced prompt chains, multi-agent flows, and complex evaluation frameworks
• Driving applied research by experimenting with cutting-edge models, techniques, and academic papers
• Contributing to internal AI standards, reusable templates, and high-performance orchestration patterns
• Transitioning prototypes into scalable systems with comprehensive observability, alerting, and governance
• Looking back on your first 12 months at Komodo Health, you will have accomplished…
• Shipped production-grade, full-stack AI solutions that materially enhance Komodo’s platform precision, reliability, or scalability
• Led design and architecture for complex AI systems, including multi-agent orchestrations and advanced model pipelines
• Prototyped and validated new applied research techniques, bringing academic insights into practical implementation
• Designed A/B experiments and evaluation frameworks to measure AI impact in production
• Mentored engineers across teams in prompt engineering, debugging, agent orchestration, and AI system design
• Influenced MLOps pipeline improvements (model versioning, automated monitoring, CI/CD for AI)
• You will drive experimentation across the organization, set best practices, and integrate new AI techniques into Komodo’s broader engineering ecosystem