Staff Applied AI Engineer

Komodo Health • New York, NY

98d • $225,000 - $298,000

About The Position

At Komodo Health, our mission is to reduce the global burden of disease. 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.

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.
• 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.
• 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.
• 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.

Nice To Haves

• Experience with specific healthcare data modalities (e.g., claims, EHR, genomic data).
• Experience with distributed computing frameworks (e.g., Spark, Snowflake, Databricks) for large-scale data processing.

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.
• Building internal systems that enhance developer productivity: think agents for code review, documentation generation, or dynamic prompt libraries.
• Transitioning successful prototypes into robust, scalable systems—with attention to reproducibility, observability, and maintainability.
• Continuously exploring emerging models and toolchains (e.g., Gemini, GPT, Claude, open-source agents) and evaluating them through practical application.

Benefits

• Comprehensive health, dental, and vision insurance.
• Flexible time off and holidays.
• 401(k) with company match.
• Disability insurance and life insurance.
• Leaves of absence in accordance with applicable state and local laws and regulations and company policy.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees