Komodo Health
Overview
At Komodo Health, our mission is to reduce the global burden of disease by using data to answer healthcare questions. 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 clinical experience. The Healthcare Map supports a powerful suite of software applications to unlock insights on patient behaviors, treatment patterns, gaps in care, unmet patient needs, and progress toward our mission. We value being awesome, seeking growth, delivering “wow,” and enjoying the journey. You will join a team of ambitious, supportive Dragons with diverse backgrounds and a shared passion for reducing the burden of disease. The Opportunity at Komodo Health
Komodo Health is transforming healthcare by building a leading analytics platform. Our AI team, Labs@Komodo, delivers 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—moving quickly from idea to prototype using AI tools, and applying engineering discipline to scale what works. You will own the full lifecycle of intelligent systems—from rapid prototyping to feedback-driven iteration to scalable deployment—with a focus on delivering value, evolving over time, and integrating across the product ecosystem. You will act as a multiplier: accelerating external innovation while reshaping internal systems, from engineering workflows to business automation. What You Will Accomplish in Your First 12 Months
Deliver production-ready AI products and models that improve the precision and scalability of Komodo’s core analytics platform Rapidly prototype and launch internal AI agents that enhance engineering workflows, automate routine tasks, and streamline cross-functional operations Help shape and operationalize Komodo’s AI strategy by embedding AI-native thinking across products, teams, and platforms Mentor others in using AI to solve real problems by sharing best practices in prompt design, agent orchestration, and rapid iteration Contribute to Komodo’s IP portfolio by building novel workflows combining speed, creativity, and technical rigor Set new standards for ethical, trustworthy AI by implementing feedback loops, model governance, and transparency mechanisms Essential Responsibilities
Design and deliver AI-native products and tools that solve healthcare challenges and optimize internal workflows Build and extend AI features across the full stack to ensure production-ready AI capabilities integrated into Komodo’s platform Drive the full product lifecycle by gathering requirements, shaping technical designs, and delivering features that connect AI systems to customer and business value Drive experimentation by developing working demos and iterating based on user and data feedback Prototype rapidly using GenAI models, chaining techniques, and orchestration frameworks to test ideas in days Partner with engineers, product teams, and stakeholders to identify AI leverage points across workflows Research and apply state-of-the-art AI techniques—LLMs, agent-based systems, generative models—to structured and unstructured data Build internal systems that enhance developer productivity (e.g., agents for code review, documentation generation, dynamic prompt libraries) Transition successful prototypes into robust, scalable systems with attention to reproducibility, observability, and maintainability Continuously explore emerging models and toolchains and evaluate them through practical application What You Bring (required)
A track record of building AI-powered systems that move rapidly from prototype to production Strong proficiency with LLMs, prompt engineering, context engineering, agent orchestration, and multi-agent systems Fluency in Python with hands-on experience using Gen AI frameworks (e.g., Chat Completions API, vLLM, Crew AI, Strands) Full-stack engineering capability across modern front-end frameworks (React or Vue) and back-end systems (FastAPI, Django, Flask); ability to design APIs and services delivering AI into production End-to-end product ownership: translating customer or business needs into clear requirements and delivering full-stack features Deep understanding of AI/ML fundamentals and applying an AI-first approach to real-world problems Comfort building quick demos, debugging AI behavior, and translating ideas into functional agent workflows or model pipelines Engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability System-builder mindset to craft internal AI tools and customer-facing solutions Strong communication and collaboration skills to influence across technical and non-technical stakeholders Degree in Computer Science, Machine Learning, or related field—or equivalent hands-on experience Expectations for AI Use in this Role
This role is AI-native by design—you are expected to apply GenAI, agent-based workflows, and cutting-edge models as your default problem-solving toolkit. This includes: Automating your own workflows with tools like Gemini, GPT, Claude, and internal agents Driving experimentation and adoption of new AI techniques within your team and across Komodo Thinking in systems: designing prompt chains, orchestration logic, and fine-tuning loops for scalable solutions Nice-to-Have Skills
Experience with healthcare data modalities (e.g., claims, EHR, genomic data) Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing Open to NYC or San Francisco locations Compensation and Benefits
The pay range reflects minimum and maximum annual base pay in the US. Starting base pay for this role is listed below; performance-based bonuses and equity may apply. Benefits include medical, dental, vision, time off, 401(k) with company match, disability and life insurance, and leaves of absence per policy. San Francisco Bay Area and New York City: $220,000 - $253,000 USD All Other US Locations: $191,000 - $220,000 USD Equal Opportunity and Work Environment
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment on race, color, religion, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Komodo Health supports a hybrid work model with options for remote or location-based work where applicable.
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At Komodo Health, our mission is to reduce the global burden of disease by using data to answer healthcare questions. 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 clinical experience. The Healthcare Map supports a powerful suite of software applications to unlock insights on patient behaviors, treatment patterns, gaps in care, unmet patient needs, and progress toward our mission. We value being awesome, seeking growth, delivering “wow,” and enjoying the journey. You will join a team of ambitious, supportive Dragons with diverse backgrounds and a shared passion for reducing the burden of disease. The Opportunity at Komodo Health
Komodo Health is transforming healthcare by building a leading analytics platform. Our AI team, Labs@Komodo, delivers 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—moving quickly from idea to prototype using AI tools, and applying engineering discipline to scale what works. You will own the full lifecycle of intelligent systems—from rapid prototyping to feedback-driven iteration to scalable deployment—with a focus on delivering value, evolving over time, and integrating across the product ecosystem. You will act as a multiplier: accelerating external innovation while reshaping internal systems, from engineering workflows to business automation. What You Will Accomplish in Your First 12 Months
Deliver production-ready AI products and models that improve the precision and scalability of Komodo’s core analytics platform Rapidly prototype and launch internal AI agents that enhance engineering workflows, automate routine tasks, and streamline cross-functional operations Help shape and operationalize Komodo’s AI strategy by embedding AI-native thinking across products, teams, and platforms Mentor others in using AI to solve real problems by sharing best practices in prompt design, agent orchestration, and rapid iteration Contribute to Komodo’s IP portfolio by building novel workflows combining speed, creativity, and technical rigor Set new standards for ethical, trustworthy AI by implementing feedback loops, model governance, and transparency mechanisms Essential Responsibilities
Design and deliver AI-native products and tools that solve healthcare challenges and optimize internal workflows Build and extend AI features across the full stack to ensure production-ready AI capabilities integrated into Komodo’s platform Drive the full product lifecycle by gathering requirements, shaping technical designs, and delivering features that connect AI systems to customer and business value Drive experimentation by developing working demos and iterating based on user and data feedback Prototype rapidly using GenAI models, chaining techniques, and orchestration frameworks to test ideas in days Partner with engineers, product teams, and stakeholders to identify AI leverage points across workflows Research and apply state-of-the-art AI techniques—LLMs, agent-based systems, generative models—to structured and unstructured data Build internal systems that enhance developer productivity (e.g., agents for code review, documentation generation, dynamic prompt libraries) Transition successful prototypes into robust, scalable systems with attention to reproducibility, observability, and maintainability Continuously explore emerging models and toolchains and evaluate them through practical application What You Bring (required)
A track record of building AI-powered systems that move rapidly from prototype to production Strong proficiency with LLMs, prompt engineering, context engineering, agent orchestration, and multi-agent systems Fluency in Python with hands-on experience using Gen AI frameworks (e.g., Chat Completions API, vLLM, Crew AI, Strands) Full-stack engineering capability across modern front-end frameworks (React or Vue) and back-end systems (FastAPI, Django, Flask); ability to design APIs and services delivering AI into production End-to-end product ownership: translating customer or business needs into clear requirements and delivering full-stack features Deep understanding of AI/ML fundamentals and applying an AI-first approach to real-world problems Comfort building quick demos, debugging AI behavior, and translating ideas into functional agent workflows or model pipelines Engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability System-builder mindset to craft internal AI tools and customer-facing solutions Strong communication and collaboration skills to influence across technical and non-technical stakeholders Degree in Computer Science, Machine Learning, or related field—or equivalent hands-on experience Expectations for AI Use in this Role
This role is AI-native by design—you are expected to apply GenAI, agent-based workflows, and cutting-edge models as your default problem-solving toolkit. This includes: Automating your own workflows with tools like Gemini, GPT, Claude, and internal agents Driving experimentation and adoption of new AI techniques within your team and across Komodo Thinking in systems: designing prompt chains, orchestration logic, and fine-tuning loops for scalable solutions Nice-to-Have Skills
Experience with healthcare data modalities (e.g., claims, EHR, genomic data) Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing Open to NYC or San Francisco locations Compensation and Benefits
The pay range reflects minimum and maximum annual base pay in the US. Starting base pay for this role is listed below; performance-based bonuses and equity may apply. Benefits include medical, dental, vision, time off, 401(k) with company match, disability and life insurance, and leaves of absence per policy. San Francisco Bay Area and New York City: $220,000 - $253,000 USD All Other US Locations: $191,000 - $220,000 USD Equal Opportunity and Work Environment
Komodo Health provides equal employment opportunities to all applicants and employees. We prohibit discrimination and harassment on race, color, religion, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Komodo Health supports a hybrid work model with options for remote or location-based work where applicable.
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