Applied AI Engineer, Komodo Health

• A track record of building AI-powered systems that move rapidly from prototype to production
• Strong proficiency with LLMs, prompt engineering, agent orchestration (LangChain, CrewAI, etc.), and multi-agent systems
• Fluency in Python and hands-on experience with ML toolkits (e.g., PyTorch, HuggingFace, scikit-learn)
• 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
• The engineering discipline to test, refactor, and scale systems with reliability, observability, and maintainability in mind
• Contributions to open-source AI projects or participation in GenAI hackathons, agentic challenges, or public tooling communities
• A system-builder mindset: equally motivated to craft internal AI tools and deliver customer-facing solutions
• Strong communication and collaboration skills—able to work across technical teams and influence non-technical stakeholders
• Degree in Computer Science, Machine Learning, or a related field—or equivalent hands-on experience that speaks for itself

Desirable

• 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
• 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
• 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 using tools like Gemini, GPT-4, Claude, etc. and internal agents
• Driving experimentation and adoption of new AI techniques within your team and across Komodo
• Thinking in systems: understanding how prompt chains, orchestration logic, and fine-tuning loops can be built into scalable solutions