Senior Applied AI Engineer
About The Position
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. Mission of the Role: 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. 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).
Requirements
- 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.
- You will drive experimentation across the organization, set best practices, and integrate new AI techniques into Komodo’s broader engineering ecosystem.
Nice To Haves
- Healthcare data expertise.
- Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.
Responsibilities
- 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.
Benefits
- comprehensive health, dental, and vision insurance
- flexible time off and holidays
- 401(k) with company match
- disability insurance and life insurance
- leaves of absence in accordance with applicable state and local laws and regulations and company policy
- performance-based bonuses
- equity awards
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
