The Opportunity at Komodo Health:
Healthcare in the U.S. is a mess. Komodo Health is fixing that—with data. We’ve mapped the patient journey across the country to build the most complete picture of disease burden and treatment gaps. Our customers—pharma companies, payers, and health systems—use this data to make decisions that meaningfully improve patient outcomes.
Labs@Komodo builds the AI-native platforms and systems that turn this data into action. We are the team behind Marmot, Komodo’s AI-native product—designed with AI embedded directly into both the interface and the development workflow. By combining Komodo’s unmatched healthcare data with modern LLMs, marmot is delivering some of the most compelling real-world insights of the new AI era.
As part of marmot, we are building an enterprise-grade AI platform. This work sits at the intersection of AI agent architectures, complex data engineering, advanced data science, and messy healthcare data—and requires engineers who want to build systems, not just pipelines.
Mission of the Role:
As a Senior AI Platform Engineer, you own the design and delivery of production-grade AI platform systems end-to-end. This role exists to translate emerging AI capabilities into reliable, scalable infrastructure while establishing repeatable patterns that accelerate AI development across Komodo.
Looking back on your first 12 months at Komodo Health, you will have accomplished…
- Shipped production-grade AI platform components that materially improve scalability, reliability, or development velocity.
- Led architecture and design for complex AI systems, including agent workflows, orchestration layers, and evaluation pipelines.
- Translated applied research and experimentation into deployable, maintainable AI systems.
- Built evaluation, monitoring, and A/B testing frameworks to measure AI performance and impact in production.
- Partnered with data, product, and platform teams to integrate AI capabilities into core workflows.
- Improved AI infrastructure and MLOps workflows, including versioning, CI/CD, and observability.
- Mentored engineers on AI system design, debugging, and platform best practices.
What You’ll Own:
- Architecting, building, and deploying end-to-end AI platform systems.
- Designing reusable agent patterns, orchestration flows, and evaluation frameworks.
- Contributing to internal AI standards, templates, and platform conventions.
- Transitioning prototypes into scalable, well-governed production systems.
What you bring to Komodo Health (required):
- Proven experience building production AI systems or platforms end-to-end.
- Strong Python fluency and experience with LLMs, agent orchestration, and modern GenAI frameworks.
- Solid foundation in data engineering and platform-aware system design.
- Experience collaborating closely with infrastructure and platform teams.
Expectations of AI Use in this role (required):
You will actively experiment with new AI techniques, contribute to shared platform patterns, and help scale AI development across Komodo through high-leverage systems and best practices.
Additional skills and experience we’d prioritize (nice to have)…
- Healthcare data experience.
- Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.
** Location flexible to NYC or SF hybrid, and remote
