Komodo Health is transforming healthcare by building the leading healthcare analytics platform. Their AI team, Labs@Komodo, is pioneering this transformation by delivering AI-native solutions that elevate both the products they bring to market and the way they build them. The company aims to reduce the global burden of disease by leveraging data and AI to unlock critical insights, track patient behaviors, identify gaps in care, and address unmet patient needs.
Requirements
- 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 and hands-on experience with Gen AI frameworks (Chat Completions API, vLLM, Crew AI, Strands, etc.).
- True full stack engineering: You are fluent across modern front-end frameworks such as React or Vue and back-end systems like FastAPI, Django, or Flask, and you use that breadth to design the APIs, interfaces, and services that bring AI capabilities into production.
- End to end product ownership: You have a track record of translating customer or business needs into clear product requirements and delivering full stack features that turn AI prototypes into usable, value-driving products.
- Deep understanding of AI/ML fundamentals, with applied experience solving real-world problems using an AI-first approach.
- Comfort building quick demos, debugging AI behavior, and translating ideas into functional agent workflows or model pipelines.
Responsibilities
- Designing and delivering AI-native products and tools that solve real healthcare challenges and optimize internal workflows.
- Building and extending AI features across the full stack to ensure AI capabilities are production-ready and integrated into Komodo’s platform.
- Driving the full product lifecycle by gathering requirements, shaping them into technical designs, and delivering complete features that connect AI systems to real customer and business value.
- 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
Other
- 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
