Senior Applied AI Engineer, Komodo Health
$191-253k
Comprehensive patient journey data
Be an early applicant
Comprehensive patient journey data
501-1000 employees
Be an early applicant
$191-253k
501-1000 employees
Company mission
To reduce the burden of disease.
Role
Who you are
- 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
- Healthcare data expertise
- Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing
What the job involves
- 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)
- 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
- You will drive experimentation across the organization, set best practices, and integrate new AI techniques into Komodo’s broader engineering ecosystem
Our take
Komodo Health's Healthcare Map tracks the healthcare journeys of over 330M patients, giving providers, pharma companies, and researchers the tools to identify opportunities for care, track treatment outcomes, and uncover patterns in patient and drug behavior.
The platform tackles the fragmentation of healthcare, helping organizations act on reliable, real-world intelligence instead of incomplete or siloed date.
The company's been making some big moves recently too, with the launch of its healthcare-native AI engine Marmot™ and partnering with Anervea.ai to bring Ai directly into clinical development. With these innovations and strategic partnerships, Komodo is in a really good spot to lead the future of AI-driven healthcare intelligence.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2022
$200m
LATE VC
Mar 2021
$220m
SERIES E
Total funding: $514m
Company HQ
Midtown Manhattan, New York, NY
Leadership
Arif Nathoo
(Co-Founder & CEO)Studied Medicine at Harvard. Former Associate Principal at McKinsey & Co for 7 years. Became a Senior Advisor for 2 years.
Web Sun
(Co-Founder & President)Previously worked in Sales and Marketing at Merck&Co. VP of Business Development at Campbell Alliance.
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