Staff Applied AI Engineer, Komodo Health

• You’ll bring deep expertise in applied AI—especially in generative models, orchestration frameworks, and responsible AI practices—to accelerate Komodo’s innovation across internal and external domains
• A proven track record of delivering AI systems that transition from research prototypes into scalable, production-ready products
• Strong technical leadership in generative AI, LLMs, orchestration frameworks, multi-agent systems, and responsible AI practices
• Fluency in Python and experience with modern GenAI toolchains (e.g., vLLM, Crew AI, Strands, LangChain, Chat Completions API)
• Full-stack engineering proficiency (front-end frameworks like React/Vue; back-end systems like FastAPI, Django, or Flask) with an ability to ship complete AI-powered features
• Experience setting company-wide standards in AI development, governance, and MLOps (CI/CD for AI, versioning, monitoring)
• Excellent collaboration and communication skills to influence both technical and non-technical stakeholders
• Degree in Computer Science, Machine Learning, or equivalent professional experience with demonstrable impact

Desirable

• As a Staff Applied AI Engineer, you will define strategic AI capabilities, set technical standards, and act as a cross-functional multiplier
• Defining and evolving Komodo’s strategic AI capabilities in alignment with business goals and healthcare product needs
• Designing end-to-end AI solutions, from prototyping through production, with an emphasis on scalability, reliability, and ethical safeguards
• Partnering across engineering, product, and operations to identify opportunities where AI-native approaches create outsized leverage
• Driving experimentation with emerging AI toolchains (e.g., Gemini, GPT, Claude, open-source agents), evaluating impact, and guiding adoption
• Shaping reference architectures and reusable frameworks that accelerate product teams and ensure quality across Komodo’s AI ecosystem
• Leading cross-functional knowledge sharing through playbooks, workshops, and technical mentorship, raising the bar across teams
• Ensuring robust observability, governance, and explainability mechanisms for AI features deployed at scale
• Looking back on your first 12 months at Komodo Health, you will have accomplished…
• Defined and rolled out company-wide AI patterns, best practices, and standards that guide prompt design, agent orchestration, and responsible AI use
• Designed and launched reusable AI frameworks that were adopted across multiple teams, enabling faster and safer product innovation
• Delivered high-impact AI systems that scaled from prototype to production, creating measurable business and healthcare outcomes
• Acted as a multiplier by mentoring engineers, leading workshops, and unblocking complex AI design challenges
• Drove build-vs-buy evaluations for core AI platforms, making strategic calls on partnerships, open-source adoption, or internal development
• Influenced Komodo’s data strategy with an AI-first lens, ensuring model performance, governance, and explainability are embedded into workflows