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Overview
Mid-Level

Applied AI Engineer

Confirmed live in the last 24 hours

Komodo Health

Komodo Health

Compensation

$166,000 - $224,000/year

San Francisco, CA
Hybrid
Posted April 7, 2026

Job Description

We Breathe Life Into Data

At Komodo Health, our mission is to reduce the global burden of disease. And we believe that smarter use of data is essential to this mission. That’s why we built the Healthcare Map — the industry’s largest, most complete, precise view of the U.S. healthcare system — by combining de-identified, real-world patient data with innovative algorithms and decades of clinical experience. The Healthcare Map serves as our foundation for a powerful suite of software applications, helping us answer healthcare’s most complex questions for our partners. Across the healthcare ecosystem, we’re helping our clients unlock critical insights to track detailed patient behaviors and treatment patterns, identify gaps in care, address unmet patient needs, and reduce the global burden of disease. 

As we pursue these goals, it remains essential to us that we stay grounded in our values: be awesome, seek growth, deliver “wow,” and enjoy the ride. At Komodo, you will be joining a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion to deliver on our mission to reduce the burden of disease — and enjoy the journey along the way.

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.

Mission of the Role:

As an Applied AI Engineer, you will design and deploy end-to-end AI solutions that power real products and internal tools. You’ll work at the intersection of applied research, engineering, and product development, bringing modern AI techniques into scalable production systems.

You’ll collaborate closely with product, platform, and data teams to build AI capabilities that transform how healthcare data is explored, understood, and operationalized.

Looking back on your first 12 months at Komodo Health, you will have accomplished… 

  • Ship production AI features that improve the precision, usability, and intelligence of Komodo’s platform.
  • Design and deploy agent-based AI pipelines integrated into real customer-facing products.
  • Build internal AI productivity tools that accelerate engineering workflows across Komodo.
  • Prototype and validate new AI approaches using emerging research and model capabilities.
  • Contribute reusable prompt templates, orchestration patterns, and AI system architecture.
  • Implement monitoring, evaluation, and observability frameworks for deployed AI services.

What You'll Own:

  • Designing, building, and deploying end-to-end AI systems for both product features and internal tooling.
  • Developing agent pipelines, prompt chains, and orchestration frameworks for LLM-driven workflows.
  • Selecting the appropriate AI techniques (LLMs, classic ML, or hybrid approaches) for specific problems.
  • Collaborating with product managers, engineers, and data scientists to define requirements and deliver solutions.
  • Building scalable AI services with monitoring, evaluation, and deployment pipelines.
  • Contributing reusable patterns to Komodo’s AI infrastructure and internal tooling ecosystem.

What you bring to Komodo Health (required):

  • Experience building production-grade AI systems or AI-powered applications.
  • Strong proficiency in Python.
  • Experience working with
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