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Applied AI Engineer

Komodo Health
San Francisco, United StatesRemotefull_timeVerifiedPosted 11 Jul 2025
💰 $223,000/yr($160,000/yr$223,000/yr)

About the role

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: 

Komodo Health is transforming healthcare by building the leading healthcare analytics platform. Our AI team, Labs@Komodo, is pioneering this transformation by delivering AI-native solutions that elevate both the products we bring to market and the way we build them.

This role is designed for engineers who thrive in a fast loop of experimentation, iteration, and validation—people who move quickly from idea to working prototype using AI tools, and who know when to slow down and apply engineering discipline to scale what works. We’re looking for engineers who approach AI like product managers—owning the full lifecycle of intelligent systems: from rapid prototyping to feedback-driven iteration to scalable deployment, with a deep focus on how these systems deliver value, evolve over time, and integrate across the broader product ecosystem. You’ll serve as a multiplier: accelerating Komodo’s external innovation while reshaping internal systems, from engineering workflows to business automation.

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

  • Delivered production-ready AI products and models that materially improve the precision and scalability of Komodo’s core analytics platform.
  • Rapidly prototyped and launched internal AI agents that enhance engineering workflows, automate routine tasks, and streamline cross-functional operations.
  • Helped shape and operationalize Komodo’s AI strategy by embedding AI-native thinking across products, teams, and platforms.
  • Mentored others in using AI to solve real problems by sharing best practices in prompt design, agent orchestration, and rapid iteration.
  • Contributed to Komodo’s IP portfolio by building novel workflows that combined speed, creativity, and technical rigor.
  • Set new standards for ethical, trustworthy AI by implementing feedback loops, model governance, and transparency mechanisms across your work.

These are the essential job duties you will be responsible for … 

  • Designing and building AI-native products and tools that address both market-facing healthcare challenges and internal workflow optimization.
  • Driving experimentation by developing working demos and iterating based on fast feedback from users and data.
  • Prototyping rapidly using GenAI models, chaining techniques, and orchestration frameworks to test ideas in days—not quarters.
  • Partnering with engineers, product teams, and operational stakeholders to identify AI leverage points across workflows.
  • Researching and applying state-of-the-art AI techniques—LLMs, agent-based systems, generative models, etc.—to both structured and unstructured datasets.
  • Building internal systems that enhance developer productivity: think agents for code review, documentation generation, or dynamic prompt libraries.
  • Architecting scalable ML infrastructure and maintaining high standards of reproducibility, explainability, and observability.
  • Transitioning successful prototypes into robust, scalable systems—with attention to reproducibility, observability, and maintainability.
  • Continuously exploring emerging models and toolchains (e.g., Gemini, GPT-4, Claude, open-source agents) and evaluating them through practical application.

What you bring to Komodo Health (required):

  • A track record of building AI-powered systems that move rapidly from prototype to production.
  • Strong prof

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Company

Komodo Health

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